Name: Python GUI Programming - Building a Desktop Application with Tkinter and SQLite
Price: 125.99 GBP
Availability: InStock

<strong>This intermediate-level course will help you learn how to use multi-threading and asynchronous programming to speed up programs that are heavily bottlenecked by IO operations. The course covers core concepts such as implementing multiprocessing in Python, creating various readers and schedulers, and monitoring your coding progress.</strong>
        <p>In a big data project, a plethora of information is retrieved, big numbers are crunched on our machine, or both. If the coding is sequential or synchronous, our application will struggle to execute. Two mechanisms to alleviate such bottlenecks are concurrency and parallelism. In Python, concurrency is represented by threading, whereas multiprocessing achieves parallelism.

This course begins with an introduction about potential programming speed bottlenecks and solving them. You will delve into Python concepts and create a Wikipedia Reader, Yahoo Finance Reader, Queues, and Master Scheduler. You will build a multi-threaded program to grab data from the Internet and parse and save them into a local database. Implement multiprocessing in Python, which lets us use multiple CPUs in our code. Learn about threading, multiprocessing, asynchronous wait, locking, multiprocessing queues, Pool Map Multiple Arguments, writing asynchronous programs, and combining async and multiprocessing.

Upon completion, we can spread our workload over all cores available on the used machine. We will combine both elements, multiprocessing with asynchronous programming, to maximize benefit and CPU resource usage and minimize the time spent waiting for IO responses. You will create multi-threaded, asynchronous, multi-process programs to make programs run faster.

All resources are available at: https://github.com/PacktPublishing/Concurrent-and-Parallel-Programming-in-Python</p>
        <h2>What You Will Learn</h2><p>Learn to use concurrency and parallelism in Python<br>Write multi-threaded programs in Python to reduce coding lengths<br>Write multi-process programs that execute even faster<br>Understand the differences between concurrency and parallelism<br>Create asynchronous programs in Python by adding concurrency<br>Spread workload over all the cores available on a machine being used</p>
        <h2>Audience</h2><p>This course is aimed at intermediate- to mastery-level seeking programmers, API developers, web developers, and application developers who know basic- to intermediate-level Python coding beforehand. The topics on concurrency and parallelism expect one to be aware of basic to intermediate understanding of coding on Python. Prior knowledge of basic Python coding is desirable for optimal benefit from this course.</p>
        <h2>Approach</h2><p>The author delivers the courses in an online classroom format using high-quality onscreen video lectures and PowerPoint presentations. Each class begins with a quick refresher to the previously learned topic followed by an engaging and interactive video session and a summarization at the end of each lecture, thus enabling the learner to hone their skillsets learned efficiently.</p>
        <h2>Key Features</h2><p>Understand where potential computing speed bottlenecks arise and how we can resolve them * Create multi-threaded, asynchronous, and multi-process programs to make your programs run faster * Combine multiprocessing with asynchronous programming to get maximum benefits of coding</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Concurrent-and-Parallel-Programming-in-Python</p>
        <h2>About the Author</h2><h3>Maximilian Schallwig</h3><p>Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor's degree in physics and a master's degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python.

Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for 'what does a data scientist do'.

He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.</p>
        <h2>Course Outline</h2><h4>1. Threading</h4><p>This section focuses on concurrency, and we will get introduced to threading, multiprocessing, and asynchronous coding. You will also learn to create threading classes, different kinds of readers and schedulers, and monitor our coding progress.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Threading, Multiprocessing, Async Introduction</p><p style='margin: 0'>In this video, we will be introduced to threading, multiprocessing, and asynchronous programs and the different considerations of choosing Python for coding.</p></td></tr><tr><td style='padding: 15px;'><p>2. Threading in Python</p><p style='margin: 0'>This lecture demonstrates how to write our first concurrent program. The author also explains the benefits of choosing the Python coding portal instead of the other code-writing portals.</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a Threading Class</p><p style='margin: 0'>After learning how to write our first threading program, you will learn how to use classes as our threading tools.</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating a Wikipedia Reader</p><p style='margin: 0'>After comprehensively practicing our basic threading creation, we will look at the project we will create to implement threading more effectively.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating a Yahoo Finance Reader</p><p style='margin: 0'>After learning how to create the Wikipedia reader, you will learn how to write a threaded class to extract the price from a Yahoo Finance portal.</p></td></tr><tr><td style='padding: 15px;'><p>6. Queues and Master Scheduler</p><p style='margin: 0'>In the previous lessons, you learned how to set up our Wikipedia reader and the Yahoo Finance worker; we will now systemize the process and create separate process entities. You will learn to create queues, take elements, and place them in a queue.</p></td></tr><tr><td style='padding: 15px;'><p>7. Creating a Postgres Worker</p><p style='margin: 0'>In this lesson, we will create our instruction worker using a Postgres database.</p></td></tr><tr><td style='padding: 15px;'><p>8. Integrating the Postgres Worker</p><p style='margin: 0'>After creating our Postgres database insertion worker, we will integrate this worker into our main function and make changes to ensure that everything is working properly.</p></td></tr><tr><td style='padding: 15px;'><p>9. Yaml File Introduction</p><p style='margin: 0'>After creating a working program, you will learn how to clean up the appearance and make it nicer to have an overview and be able to expand its features in the future.</p></td></tr><tr><td style='padding: 15px;'><p>10. Creating a Yaml Reader</p><p style='margin: 0'>Now that we have the Yaml pipeline defined, we will implement something to read this file or any other file that has a queue worker structure to create our pipeline for us.</p></td></tr><tr><td style='padding: 15px;'><p>11. Improving Our Wiki Worker</p><p style='margin: 0'>After successfully creating and defining our Yaml reader, we will implement this into our main class.</p></td></tr><tr><td style='padding: 15px;'><p>12. Improving All Workers and Adding Monitoring</p><p style='margin: 0'>In this lecture, you will learn to clean up the Yaml pipeline executor, load the pipeline, initialize it, and join it to your main class.</p></td></tr><tr><td style='padding: 15px;'><p>13. Final Program Cleanup</p><p style='margin: 0'>Apart from a final cleanup to make our project more functional, you will learn to create local environment variables for actual testing.</p></td></tr><tr><td style='padding: 15px;'><p>14. Locking</p><p style='margin: 0'>This lecture will cover the locking process and things we need to vary when threading.</p></td></tr></tbody></table><br><h4>2. Multiprocessing</h4><p>This section focuses on the multiprocessing functions in Python. You will learn to create multiprocessing queues and pools and learn all about arguments and checking elements in ranges.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Multiprocessing Introduction</p><p style='margin: 0'>Here, we will understand multiprocessing and monitor how our CPU functions during multiprocessing.</p></td></tr><tr><td style='padding: 15px;'><p>2. Multiprocessing Queues</p><p style='margin: 0'>Now that we have understood multiprocessing, you will learn how to split our segments over multiple processes in the form of queues to speed up processing and take a load off the process execution.</p></td></tr><tr><td style='padding: 15px;'><p>3. Multiprocessing Pool</p><p style='margin: 0'>After learning how to distribute the work by multiprocessing over different CPUs, you will learn to replicate the process over a multiprocessing program surrounding multiprocessing classes.</p></td></tr><tr><td style='padding: 15px;'><p>4. Multiprocessing Pool Map Multiple Arguments</p><p style='margin: 0'>Let's learn how to pass multiple arguments, passing lists instead of elements in a list or class while executing a code.</p></td></tr><tr><td style='padding: 15px;'><p>5. Multiprocessing Multiple Varying Arguments</p><p style='margin: 0'>In the previous video, we have seen how to provide additional arguments using a partial library in the functools built-in tool; you will now learn to add different elements such as a power list instead.</p></td></tr><tr><td style='padding: 15px;'><p>6. Multiprocessing Checking Elements in List in Certain Ranges</p><p style='margin: 0'>In this video, we will finally revisit the initially more CPU-intensive functions we were using, which will be checking how many values in our comparison list are in a specific range.</p></td></tr></tbody></table><br><h4>3. Asynchronous</h4><p>This section focuses on the asynchronous programming aspect of Python. You will learn to write asynchronous programs, perform asynchronous tasks, use asynchronous libraries, and combine async and multiprocessing.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Writing Asynchronous Programs</p><p style='margin: 0'>In this video, we will understand what asynchronous programming is and the fundamental differences between synchronous and asynchronous programming. We will also write our first asynchronous program.</p></td></tr><tr><td style='padding: 15px;'><p>2. Asynchronous Tasks</p><p style='margin: 0'>Here, you will learn to assign asynchronous functions to tasks to execute on the asynchronous syntax.</p></td></tr><tr><td style='padding: 15px;'><p>3. Async Gather Method</p><p style='margin: 0'>Let's understand how to combine two APIs using the gather method with the await function. Here, the function waits for all tasks to complete before executing the next task assigned.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Async Timeouts</p><p style='margin: 0'>This video will explain what a timeout does in asynchronous programming and how to place timeouts in our syntax.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating Asynchronous For Loops</p><p style='margin: 0'>This lesson elaborates on what a for loop does and does not do in an asynchronous program code.</p></td></tr><tr><td style='padding: 15px;'><p>6. Using Asynchronous Libraries</p><p style='margin: 0'>Here, you will learn how some libraries support asynchronous libraries, and others do not. You will also learn to look for those libraries and compare them.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Async Wait Statement</p><p style='margin: 0'>In this video, we will look at how we can wait for specific tasks to complete before we execute the code we want to run. Unlike the gather function that waits for all tasks to complete before running a code, this statement waits for specific tasks to complete.</p></td></tr><tr><td style='padding: 15px;'><p>8. Combining Async and Multiprocessing</p><p style='margin: 0'></p></td></tr></tbody></table>

This intermediate-level course will help you learn how to use multi-threading and asynchronous programming to speed up programs that are heavily bottlenecked by IO operations. The course covers core concepts such as implementing multiprocessing in Python, creating various readers and schedulers, and monitoring your coding progress.
In a big data project, a plethora of information is retrieved, big numbers are crunched on our machine, or both. If the coding is sequential or synchronous, our application will struggle to execute. Two mechanisms to alleviate such bottlenecks are concurrency and parallelism. In Python, concurrency is represented by threading, whereas multiprocessing achieves parallelism. This course begins with an introduction about potential programming speed bottlenecks and solving them. You will delve into Python concepts and create a Wikipedia Reader, Yahoo Finance Reader, Queues, and Master Scheduler. You will build a multi-threaded program to grab data from the Internet and parse and save them into a local database. Implement multiprocessing in Python, which lets us use multiple CPUs in our code. Learn about threading, multiprocessing, asynchronous wait, locking, multiprocessing queues, Pool Map Multiple Arguments, writing asynchronous programs, and combining async and multiprocessing. Upon completion, we can spread our workload over all cores available on the used machine. We will combine both elements, multiprocessing with asynchronous programming, to maximize benefit and CPU resource usage and minimize the time spent waiting for IO responses. You will create multi-threaded, asynchronous, multi-process programs to make programs run faster. All resources are available at: https://github.com/PacktPublishing/Concurrent-and-Parallel-Programming-in-Python
What You Will Learn
Learn to use concurrency and parallelism in Python
Write multi-threaded programs in Python to reduce coding lengths
Write multi-process programs that execute even faster
Understand the differences between concurrency and parallelism
Create asynchronous programs in Python by adding concurrency
Spread workload over all the cores available on a machine being used
Audience
This course is aimed at intermediate- to mastery-level seeking programmers, API developers, web developers, and application developers who know basic- to intermediate-level Python coding beforehand. The topics on concurrency and parallelism expect one to be aware of basic to intermediate understanding of coding on Python. Prior knowledge of basic Python coding is desirable for optimal benefit from this course.
Approach
The author delivers the courses in an online classroom format using high-quality onscreen video lectures and PowerPoint presentations. Each class begins with a quick refresher to the previously learned topic followed by an engaging and interactive video session and a summarization at the end of each lecture, thus enabling the learner to hone their skillsets learned efficiently.
Key Features
Understand where potential computing speed bottlenecks arise and how we can resolve them * Create multi-threaded, asynchronous, and multi-process programs to make your programs run faster * Combine multiprocessing with asynchronous programming to get maximum benefits of coding
Github Repo
https://github.com/PacktPublishing/Concurrent-and-Parallel-Programming-in-Python
About the Author
Maximilian Schallwig
Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor's degree in physics and a master's degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python. Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for 'what does a data scientist do'. He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.
Course Outline
1. Threading
This section focuses on concurrency, and we will get introduced to threading, multiprocessing, and asynchronous coding. You will also learn to create threading classes, different kinds of readers and schedulers, and monitor our coding progress.
1. Threading, Multiprocessing, Async Introduction
In this video, we will be introduced to threading, multiprocessing, and asynchronous programs and the different considerations of choosing Python for coding.
2. Threading in Python
This lecture demonstrates how to write our first concurrent program. The author also explains the benefits of choosing the Python coding portal instead of the other code-writing portals.
3. Creating a Threading Class
After learning how to write our first threading program, you will learn how to use classes as our threading tools.
4. Creating a Wikipedia Reader
After comprehensively practicing our basic threading creation, we will look at the project we will create to implement threading more effectively.
5. Creating a Yahoo Finance Reader
After learning how to create the Wikipedia reader, you will learn how to write a threaded class to extract the price from a Yahoo Finance portal.
6. Queues and Master Scheduler
In the previous lessons, you learned how to set up our Wikipedia reader and the Yahoo Finance worker; we will now systemize the process and create separate process entities. You will learn to create queues, take elements, and place them in a queue.
7. Creating a Postgres Worker
In this lesson, we will create our instruction worker using a Postgres database.
8. Integrating the Postgres Worker
After creating our Postgres database insertion worker, we will integrate this worker into our main function and make changes to ensure that everything is working properly.
9. Yaml File Introduction
After creating a working program, you will learn how to clean up the appearance and make it nicer to have an overview and be able to expand its features in the future.
10. Creating a Yaml Reader
Now that we have the Yaml pipeline defined, we will implement something to read this file or any other file that has a queue worker structure to create our pipeline for us.
11. Improving Our Wiki Worker
After successfully creating and defining our Yaml reader, we will implement this into our main class.
12. Improving All Workers and Adding Monitoring
In this lecture, you will learn to clean up the Yaml pipeline executor, load the pipeline, initialize it, and join it to your main class.
13. Final Program Cleanup
Apart from a final cleanup to make our project more functional, you will learn to create local environment variables for actual testing.
14. Locking
This lecture will cover the locking process and things we need to vary when threading.
2. Multiprocessing
This section focuses on the multiprocessing functions in Python. You will learn to create multiprocessing queues and pools and learn all about arguments and checking elements in ranges.
1. Multiprocessing Introduction
Here, we will understand multiprocessing and monitor how our CPU functions during multiprocessing.
2. Multiprocessing Queues
Now that we have understood multiprocessing, you will learn how to split our segments over multiple processes in the form of queues to speed up processing and take a load off the process execution.
3. Multiprocessing Pool
After learning how to distribute the work by multiprocessing over different CPUs, you will learn to replicate the process over a multiprocessing program surrounding multiprocessing classes.
4. Multiprocessing Pool Map Multiple Arguments
Let's learn how to pass multiple arguments, passing lists instead of elements in a list or class while executing a code.
5. Multiprocessing Multiple Varying Arguments
In the previous video, we have seen how to provide additional arguments using a partial library in the functools built-in tool; you will now learn to add different elements such as a power list instead.
6. Multiprocessing Checking Elements in List in Certain Ranges
In this video, we will finally revisit the initially more CPU-intensive functions we were using, which will be checking how many values in our comparison list are in a specific range.
3. Asynchronous
This section focuses on the asynchronous programming aspect of Python. You will learn to write asynchronous programs, perform asynchronous tasks, use asynchronous libraries, and combine async and multiprocessing.
1. Introduction to Writing Asynchronous Programs
In this video, we will understand what asynchronous programming is and the fundamental differences between synchronous and asynchronous programming. We will also write our first asynchronous program.
2. Asynchronous Tasks
Here, you will learn to assign asynchronous functions to tasks to execute on the asynchronous syntax.
3. Async Gather Method
Let's understand how to combine two APIs using the gather method with the await function. Here, the function waits for all tasks to complete before executing the next task assigned.
4. Using Async Timeouts
This video will explain what a timeout does in asynchronous programming and how to place timeouts in our syntax.
5. Creating Asynchronous For Loops
This lesson elaborates on what a for loop does and does not do in an asynchronous program code.
6. Using Asynchronous Libraries
Here, you will learn how some libraries support asynchronous libraries, and others do not. You will also learn to look for those libraries and compare them.
7. The Async Wait Statement
In this video, we will look at how we can wait for specific tasks to complete before we execute the code we want to run. Unlike the gather function that waits for all tasks to complete before running a code, this statement waits for specific tasks to complete.
8. Combining Async and Multiprocessing


Packt

Python

Programming

This intermediate-level course will help you learn how to use multi-threading and asynchronous programming to speed up programs that are heavily bottlenecked by IO operations. The course covers core concepts such as implementing multiprocessing in Python, creating various readers and schedulers, and monitoring your coding progress.

Concurrent and Parallel Programming in Python

General Admission

Learn how to build and test APIs and web services, which form the foundation of most software engineer work with the help of this carefully structured beginner's level course. You will be learning all of this in Python, one of the world's most popular and widely used programming languages.
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. This hands-on course will help you become a skilled software engineer with no prior programming experience needed. You will start by learning the basics of Python such as variables, strings, Booleans, lists, tuples, dictionaries, generators, and so on as well as learning to write the first service test. Furthermore, you will learn to send requests in Python and understand how to modify permissions. You will also be able to explore Docker and SQL and learn to set up a local PostgreSQL Server. You will learn how to create tables using query results. Moving further in the course, you will learn to integrate databases into your application and create database models in Python. You will be introduced to Redis and learn data compression. You will also get to know how to set up a GitHub desktop, and clone a repository as well as GitHub CLI. You will wrap up the course by having a look at threading in Python, multiprocessing pool, and async wait statements. By the end of this course, you will feel comfortable with developing applications, have a portfolio item, and be ready to apply for software engineer positions and take on those technical interviews. All resources and code files are placed here: https://github.com/PacktPublishing/Python-for-Software-Engineering-Bootcamp-
What You Will Learn
Learn to write proper and clean Python code
Learn to develop APIs in Python
Learn to write scalable applications in Python
Learn to interact with databases in code
Learn to add caching to your code
Learn to properly test your code
Audience
This course is for complete beginners who want to learn how to program and become software engineers. No prior programming experience is needed, you will learn everything you will need to know on the course.
Approach
This is a well-structured, hands-on, and comprehensive course for beginners. Real-time scenarios and use cases are explained, which will come in handy in the future. In this course, you will also learn how to contribute to open-source projects and build your online presence to build credibility.
Key Features
Understand the skills required to work as a software engineer with the help of 40+ hours of premium content * Learn to use Docker to build containerized applications * Understand how to use GitHub to automatically test and deploy code
Github Repo
https://github.com/PacktPublishing/Python-for-Software-Engineering-Bootcamp-
About the Author
Maximilian Schallwig
Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor's degree in physics and a master's degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python. Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for 'what does a data scientist do'. He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.
Course Outline
1. Introduction

1. Introduction
In this video, the author introduces you to the course.
2. Setting Up Our Coding Environment
In this video, the author explains the installation of PyCharm.
3. Installing Python
This video explains the installation of Python.
4. Writing Our First Program
This video explains how to write your first Python program.
5. Variables
This video explains variables in Python.
6. String
This video explains strings in Python.
7. Integers, Floats, and Type Casting
This video explains integers, floats, and type casting in Python.
8. Booleans and Boolean Operations
This video explains Booleans and Boolean operations in Python.
9. None Types
This video explains the 'none' datatype in Python.
10. Lists
This video explains lists in Python.
11. Tuples
This video explains tuples in Python.
12. Dictionaries
This video explains dictionaries in Python.
13. Formatting Strings and Writing Comments
This video explains how to write comments and format strings in Python.
14. If Statements
This video explains If statements.
15. Elif and Else Statements
In this video, the author explains the elif and else statements.
16. For Loops
This video explains for loops in Python.
17. While Loops
This video explains while loops.
18. Functions
This video explains functions in Python.
19. Function Parameters
This video explains function parameters.
20. Global Variables
This video explains global variables.
21. File Handling
This video explains file handling in Python.
22. Virtual Environments
This video explains virtual environments.
23. Launching Our First Application
This video explains launching the first application.
24. Classes
This video explains classes in Python.
25. Classes Inheritance
This video explains classes inheritance.
26. Decorators
This video explains decorators in Python.
27. Generators
In this video, the author explains generators in Python.
28. JSON and Text Response
This video explains JSON and text response.
29. Typing
This video explains that when we write Python code, we do not define the datatypes, values, and so on.
30. Response Models
This video explains response models.
31. Expanded Field Information
This video explains the concept of expanded field information.
32. Path Parameters
This video explains Path parameters.
33. Request Bodies
This video explains request bodies.
34. Query Parameters
This video explains the query parameters.
35. Put and Delete
This video explains put and delete request types.
36. Docstrings
This video explains docstrings.
37. Async Functions
This video explains async functions.
38. Directory Structure
This video explains the directory structure.
39. API Routers Continued
This video explains API routers.
40. Environment Variables
In this video, the author explains environment variables.
41. HTTP Status Codes
This video explains the HTTP status codes.
42. Exceptions
This video explains exceptions in Python.
43. Logging
This video explains how to implement logging and its benefits.
44. Logging Formatter
This video explains the concept of logging formatter.
45. Custom Exception Handlers
This video explains custom exception handlers.
46. Headers and Dependencies
This video explains headers and dependencies.
2. Testing

1. Pytest Introduction
This video introduces you to Pytest.
2. Writing Our First Service Test
This video explains how to write your first service test.
3. Fixtures
This video explains fixtures in Python.
4. Integration Tests
This video explains integration tests.
5. Testing for Exceptions
This video explains testing for exceptions.
6. Sending Requests in Python
This video explains sending requests in Python.
7. Sending Async Requests
This video explains sending async requests.
8. Testing Synchronous Requests
This video explains testing synchronous requests.
9. Testing Async Requests
This video explains testing async requests.
10. Test Coverage
This video explains test coverage.
11. MyPy Round 2
This video explains MyPy.
3. Introduction to the Terminal

1. Digital Ocean Setup
This video explains the setup of Digital Ocean.
2. SSH on Windows
This video explains SSH on Windows.
3. Connecting with SSH
This video explains connecting with SSH.
4. Basic Navigation
This video explains basic navigation.
5. Creating Folders
This video explains creating folders.
6. Creating Files
This video explains creating files.
7. Removing Folders and Files
This video explains removing folders and files.
8. Moving, Renaming, and Copying Files and Folders
This video explains moving, renaming, and copying files and folders.
9. Environment Variables
This video explains environment variables.
10. Piping and Redirecting
This video explains piping and redirecting.
11. Super User and Running Pythons Scripts
This video explains super user and running Pythons scripts.
12. Executables and Modifying Permissions
This video explains executables and modifying permissions.
13. Sending Requests
This video explains sending requests
4. Docker

1. Docker Introduction
This video introduces you to Docker.
2. Creating a Dockerfile
This video explains creating a Dockerfile.
3. Multistage Build
This video explains multistage build.
4. Docker Compose
This video explains Docker Compose.
5. Makefile
This video explains Makefile.
5. SQL

1. Introduction to Relational Databases
This video introduces you to relational databases.
2. Data Types and Schemas
This video explains data types and schemas.
3. [Mac] Setting Up a Local PostgreSQL Server
This video explains setting up a local PostgreSQL server for Mac.
4. [Windows] Setting Up a Local PostgreSQL Server
This video explains setting up a local PostgreSQL server for Windows.
5. [Mac] SQL Editor Postico
This video explains SQL Editor Postico for Mac.
6. SQL Editor DataGrip
This video explains SQL Editor DataGrip.
7. SQL Editor CLI
This video explains SQL Editor CLI.
8. Creating and Removing a Database
This video explains creating and removing a database.
9. Creating Schemas
This video explains creating schemas.
10. Creating Tables
This video explains creating tables.
11. Altering Tables
This video explains altering tables.
12. Enumerated Types
This video explains enumerated types.
13. Inserting Values
This video explains inserting values.
14. Running an SQL Script
This video explains how to run a SQL script.
15. Reading Data
This video explains reading data.
16. Creating Tables Using Query Results
This video explains creating tables using query results.
17. Aliases and Ordering
This video explains aliases and ordering.
18. Conditional Filtering Direct Comparisons
This video explains conditional filtering direct comparisons.
19. Conditional Filtering Grouped Comparisons
This video explains conditional filtering grouped comparisons.
20. Joining Conditionals
This video explains joining conditionals in SQL.
21. Negating Conditionals
This video explains negating conditionals in SQL.
22. Filtering Null Values
This video explains filtering the null values in SQL.
23. Creating New Columns and Arithmetic
This video explains how to create new columns and arithmetic.
24. Datatype Conversions
This video explains datatype conversions in SQL.
25. Logic Statements
This video explains logic statements in SQL.
26. Manipulating Strings
This video explains manipulating strings in SQL.
27. String Positional Information
This video explains string positional information in SQL.
28. String Subsets and Concatenations
This video explains string subsets and concatenations.
29. String Replacements
This video explains string replacements in SQL.
30. Date and Time
This video explains date and time in SQL.
31. Date and Time Intervals
This video explains date and time intervals.
32. Comments
This video explains the comments in SQL.
33. Aggregation Functions
This video explains aggregation functions in SQL.
34. Grouping and Filtering Aggregations
This video explains grouping and filtering aggregations.
35. Inner Join
This video explains inner join in SQL.
36. Left, Right, and Outer Joins
This video explains left, right, and outer joins in SQL.
37. Self Joins
This video explains self joins in SQL.
38. Unions
This video explains unions in SQL.
39. Subqueries
This video explains subqueries in SQL.
40. Common Table Expression (CTEs)
This video explains CTEs in SQL.
41. Window Functions and Aliases
This video explains window functions and aliases in SQL.
42. Row Numbers and Ranks
This video explains row numbers and ranks.
43. Using Other Rows with Window Functions
This video explains using other rows with window functions.
44. NTiles
This video explains NTiles in SQL.
45. Understanding Query Performance
This video explains query performance in SQL.
6. Integrating Databases into Our Application

1. Adding Postgres to Our Docker Compose
This video explains adding Postgres to our Docker Compose.
2. Creating Database Models in Python
This video explains creating database models in Python.
3. Database Migrations
This video explains database migrations.
4. SQLAlchemy ORM Introduction
This video introduces you to SQLAlchemy ORM.
5. Creating a Database Client
This video explains how to create a database client.
6. Updating Our Application to Read from the Database
This video explains updating our application to read from the database.
7. Database Inserts
This video explains database inserts.
8. Database Updates
This video explains database updates.
9. Database Deletes
This video explains database deletes.
10. Async Database Queries
This video explains async database queries.
11. Async Updates
This video explains async updates.
12. Updating Unit Tests to Work with the Database
This video explains updating unit tests to work with the database.
13. Updating Integration Tests to Work with the Database
This video explains updating integration tests to work with the database.
14. SQLite for Testing
This video explains SQLite for testing.
15. Mocking
This video explains mocking.
7. Caching

1. Redis Introduction
This video introduces you to Redis.
2. Adding Caching to Our Application
This video explains adding caching to our application.
3. Redis Hash Introduction
This video introduces you to Redis Hash.
4. Redis Sets Introduction
This video introduces you to Redis Sets.
5. Adding Hash Caching to Pagination Endpoint
This video explains adding hash caching to pagination endpoint.
6. Python Object Serialization
This video explains Python object serialization.
7. Cache Flushing
This video explains cache flushing.
8. Data Compression
This video explains data compression.
8. Linting

1. MyPy Configurations
This video explains the MyPy configurations.
2. Import Sorting
This video explains import sorting.
3. Automatic Code Formatting
This video explains automatic code formatting.
4. Additional Code Checking
This video explains additional code checking.
9. GitHub

1. GitHub Credentials Setup
This video explains how to set up GitHub credentials.
2. GitHub Desktop Setup
This video explains how to set up GitHub Desktop.
3. Cloning a Repository
This video explains how to clone a GitHub repository.
4. Pushing a Local Repository to GitHub
This video explains how to push a local repository GitHub.
5. Reverting and Squashing Commits
This video explains reverting and squashing Commits.
6. GitHub Branches
This video explains GitHub branches.
7. Pull Request
This video explains a Pull request.
8. Precommit Hooks
This video explains Precommit hooks.
9. GitHub CLI
This video explains GitHub CLI.
10. Tagged Release
This video explains tagged release.
11. Reading Documentation
This video explains reading documentation.
10. Concurrent and Parallel Programming

1. Threading, Multiprocessing, and Async Introduction
This video explains threading, multiprocessing, and async statements.
2. Threading in Python
This video explains threading in Python.
3. Creating a Threading Class
This video explains how to create a threading class.
4. Creating a Wikipedia Reader
This video explains how to create a Wikipedia Reader.
5. Creating a Yahoo Finance Reader
This video explains creating a Yahoo Finance Reader.
6. Queues and Master Scheduler
This video explains queues and master scheduler.
7. Creating a Postgres Worker
This video explains how to create Postgres Worker.
8. Integrating the Postgres Worker
This video explains integrating the Postgres Worker.
9. Yaml File Introduction
This video introduces you to Yaml file.
10. Creating a Yaml Reader
This video explains how to create a Yaml Reader.
11. Improving Our Wiki Worker
This video explains improving our Wiki Worker.
12. Improving All Workers and Adding Monitoring
This video explains improving all workers and adding monitoring.
13. Final Program Clean-Up
This video explains final program clean-up.
14. Locking
This video explains Locking.
15. Multiprocessing Introduction
This video introduces you to multiprocessing.
16. Multiprocessing Queues
This video explains multiprocessing queues.
17. Multiprocessing Pool
This video explains multiprocessing pool.
18. Multiprocessing Pool Map Multiple Arguments
This video explains multiprocessing pool map multiple arguments.
19. Multiprocessing Multiple Varying Arguments
This video explains multiprocessing multiple varying arguments.
20. Multiprocessing Checking Elements in List in Certain Ranges
This video explains multiprocessing checking elements in list in certain ranges.
21. Introduction to Writing Asynchronous Programs
This video introduces you to writing asynchronous programs.
22. Asynchronous Tasks
This video explains asynchronous tasks.
23. Async Gather Method
This video explains the async Gather method.
24. Using Async Timeouts
This video explains async timeouts.
25. Creating Asynchronous For Loops
This video explains how to create asynchronous 'for' loops.
26. Using Asynchronous Libraries
This video explains using asynchronous libraries.
27. The Async Wait Statement
This video explains the async wait statement.
28. Combining Async and Multiprocessing
This video explains combining async and multiprocessing.

Docker

Learn how to build and test APIs and web services, which form the foundation of most software engineer work with the help of this carefully structured beginner's level course. You will be learning all of this in Python, one of the world's most popular and widely used programming languages.

Python for Software Engineering Bootcamp

<p>Python for Beginners is a 30 hour course, delivered online using SpatialChat (a collaborative online, social space). We use Agile scrum methodology with Trello to manage our learning.</p>
<p>The course will usually take place over a number of weeks (e.g. 1 day a week for 5 weeks)</p>
<p>You will learn how to write Python programmes to stored and change data, make decisions, repeat processes and work with data structures such as lists and data records.</p>
<p>On completion of this course you will be offered a place on a continuation course either specialising in pure programming or in working with data. &nbsp; During this course, therefore, you will get a flavour of both.</p>
<p>&nbsp;</p>
<p>&nbsp;</p>

Python for Beginners is a 30 hour course, delivered online using SpatialChat (a collaborative online, social space). We use Agile scrum methodology with Trello to manage our learning.
The course will usually take place over a number of weeks (e.g. 1 day a week for 5 weeks)
You will learn how to write Python programmes to stored and change data, make decisions, repeat processes and work with data structures such as lists and data records.
On completion of this course you will be offered a place on a continuation course either specialising in pure programming or in working with data. During this course, therefore, you will get a flavour of both.
 
 

futureCoders SE

Python for beginners. 
30 Hour course over 5 weeks.

Python for Improvers

Intro ... taster

Unlock your creative prowess in the exhilarating realm of game development through this course. This step-by-step guide empowers you to grasp the nuances of crafting captivating 2D games using Python and the robust Pygame library. Understanding of concepts such as control flow, data structures, and object-oriented programming would be beneficial.
Embark on a comprehensive journey into game development with our in-depth course, covering everything from the fundamentals to advanced techniques using Python and the powerful Pygame library. Start by understanding the capabilities of Pygame and learn how to set up a development environment for seamless coding. Explore the artistic side by drawing shapes on a surface and master the intricacies of handling keyboard events and frame rates. As you progress, add depth to your games by implementing boundaries, jump logic, and captivating background images. Gain proficiency in working with sprites, delving into object-oriented programming for efficient game structure. Learn to introduce projectiles, enemies, and collision detection, enhancing the interactive nature of your creations. You will also delve into advanced topics such as scrolling backgrounds, game difficulty levels, and dynamic elements like health bars and scoring systems. The course also provides hands-on experience in addressing common challenges, from fixing bugs to making interactive buttons. By the end, you will not only have a diverse portfolio of 2D games but also a robust skill set in Python and Pygame, positioning you as a proficient game developer ready to bring your creative visions to life.
What You Will Learn
Develop a variety of 2D games, including platformers, puzzles, and arcade-style games, from scratch
Utilize Pygame's features for graphics, sound effects, and user input to create interactive and engaging gaming experiences
Debug and optimize Pygame code for smooth gameplay and performance, handling different game states and events effectively
Implement game physics and controls, covering aspects such as collision detection, sprite movement, and character animation in Pygame
Manage game state and screen transitions, such as starting, pausing, and ending games, with efficient code structures
Learn to deploy completed Pygame applications for wide distribution
Audience
This course is designed for aspiring game developers, Python programmers seeking skill enhancement, hobbyists eager to craft captivating games, and freelancers or entrepreneurs looking to monetize their creations. Whether you are starting your game development journey or aiming to diversify your skillset, this course provides tailored insights. Tailored to accommodate beginners yet comprehensive enough for intermediate programmers, this course takes you from the foundational principles of game development to creating your own games from scratch.
Approach
This is a guided journey, progressing step by step, to comprehend and master the craft of developing captivating 2D games using Python and the potent Pygame library.
Key Features
Learn to design and develop various 2D games * Master the art of debugging and optimizing Pygame code for smooth and efficient gameplay * Gain insights into best practices for organizing and structuring game projects, improving code readability and maintainability
Github Repo
https://github.com/PacktPublishing/Python-for-Game-Programming---Pygame-from-A-to-Z
About the Author
Meta Brains
Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!
Course Outline
1. Introduction to Pygame
In this section, you will be introduced to the course and the environment setup.
1. Introduction to Pygame and Its Capabilities
In this video, you will be introduced to Pygame and its capabilities.
2. Setting Up a Pygame Development Environment
In this video, you will learn how to set up a Pygame development environment, enabling you to begin your game development journey with ease.
3. Creating a Pygame Window and Basic Game Loop
In this video, you will learn the process of creating a Pygame window and implementing a basic game loop, setting the foundation for your game development project.
2. Getting Started with Pygame
In this section, you will learn the basics of Pygame.
1. Drawing Shapes on a Surface
In this video, you will learn how to draw shapes on a Pygame surface, gaining essential skills for creating visuals and graphics in your game development projects.
2. Handling Keyboard Events and Frame Rates
In this video, you will learn how to handle keyboard events and manage frame rates in Pygame, enhancing interactivity and control in your game development.
3. Adding Boundaries
In this video, you will learn how to add boundaries to your Pygame project, ensuring controlled movement and interaction within your game world.
4. Adding Jump Logic
In this video, you will learn how to implement jump logic in your Pygame project, enabling dynamic and interactive gameplay experiences.
5. Adding a Background Image
In this video, you will learn how to add a background image to your Pygame project, enhancing the visual appeal of the game.
3. Sharp Shooters Game
In this section, you will work on the sharp shooters game, learn to add enemies to the game, and learn to implement collision detecting.
1. Introduction to Sprites
In this video, you will be introduced to sprites in Pygame.
2. Moving and Animating Sprites
In this video, you will learn about animating and moving sprites in the Pygame.
3. Object-Oriented Programming
In this video, you will explore the principles of object-oriented programming, a fundamental approach for structuring and organizing code in a modular and efficient manner.
4. Projectiles
In this video, you will delve into the mechanics of projectiles in game development, understanding how to implement and control the behavior of objects in motion.
5. Adding Enemy
In this video, you will discover how to add an enemy character to your game, introducing challenges and interactions for players to enhance gameplay.
6. Collision: Manual Hitbox
In this video, you will learn about collision detection using manual hitboxes in Pygame, enabling precise control over interactions between game elements for enhanced gameplay mechanics.
7. Implementing Collision Detection Using .Rect()
In this video, you will learn how to implement collision detection using .Rect() in Pygame, providing an efficient and streamlined method for managing collisions between game elements.
8. Displaying Text and Adding Scores
In this video, you will learn how to display text and implement a scoring system in your Pygame project, enhancing the user interface and introducing game progression elements.
9. Adding Health Bars
In this video, you will discover how to add health bars to your Pygame project, providing a visual representation of character or object health and enhancing the overall gaming experience.
10. Implementing Sound Effects and Background Music
In this video, you will learn how to implement sound effects and background music in your Pygame project, adding an immersive auditory dimension to enhance the overall gaming experience.
11. Fixing Bugs
In this video, you will learn effective strategies for identifying and fixing bugs in your Pygame project, ensuring a smoother and more reliable gaming experience for users.
4. Snake Game
In this section, you will be working on the snake game in which you will be creating a snake and adding boundaries to the snake.
1. Game Design
In this video, you will explore the fundamental principles of game design, covering key aspects to consider when conceptualizing and structuring your Pygame project for an engaging and enjoyable user experience.
2. Creating a Snake
In this video, you will learn the step-by-step process of creating a snake game in Pygame, combining programming skills with game development concepts to bring this classic game to life.
3. Moving the Snake
In this video, you will learn to control and move the snake in your Pygame project, mastering essential mechanics for dynamic gameplay.
4. Adding Boundaries to the Snake
This video covers adding boundaries to the snake in your Pygame project for controlled movement and improved gameplay.
5. Adding Apple
In this video, you will learn to add an apple to the snake game.
6. Detect When Snake Eats Apple
In this video, you will learn to detect when the snake eats an apple in your Pygame project, implementing a key game event that drives progression and adds excitement to gameplay.
7. Scores and Game Over
In this video, you will implement scoring and game over conditions in your Pygame project, enhancing the overall gaming experience.
8. Errors Fixing
In this video, you will tackle error fixing in your Pygame project, gaining practical strategies to identify, troubleshoot, and resolve coding issues for smoother and bug-free gameplay.
5. Spaceship Game
In this section, you will be working on the spaceship game.
1. Introduction to the Game
In this video, you will be introduced to another game named the spaceship game in which you will learn to create the spaceship, add enemies to the game as well as add bullet collisions.
2. Creating Spaceship
In ta video, you will learn to create a spaceship in your Pygame project, adding a dynamic and customizable element to your game that enhances player engagement.
3. Shooting with Spaceship
In this video, you will explore shooting mechanics with a spaceship in your Pygame project, adding an exciting and interactive element to your game for enhanced gameplay.
4. Adding Enemies
In this video, you will discover how to add enemies to your Pygame project, introducing challenges and obstacles for players to overcome, enriching the gaming experience.
5. Add Shooting to Enemies
In this video, you will learn how to add shooting capabilities to enemies in your Pygame project, creating dynamic interactions and intensifying the gaming experience.
6. Adding Bullets Collisions
In this video, you will implement bullet collision detection in your Pygame project, enhancing the realism and strategy in gameplay as bullets interact with various elements.
7. Adding Sound Effects, Scores, and Game Over
In this video, you will elevate your Pygame project by adding sound effects, implementing scoring mechanisms, and incorporating a game-over system, enriching the overall gaming experience with audio feedback and player progression.
6. Final Project: Car Race
In this section, you will be working on the final project for the course, which is creating a car race game in which you will learn to add enemy cars and car collisions.
1. Introduction and Game Design
In this video, you will delve into the introduction and fundamental principles of game design in the context of Pygame, laying the groundwork for creating engaging and well-structured gaming experiences.
2. Adding a Car
In this video, you will learn how to add a car to your Pygame project, introducing a dynamic element that enhances the visual appeal and gameplay possibilities of your game.
3. Drawing Background Images and Crash Check
In this video, you will discover how to draw background images and implement crash checks in your Pygame project, creating a visually immersive environment and ensuring collision detection for a polished gaming experience.
4. Adding Enemy Cars and Car Collisions
In this video, you will enhance your Pygame project by adding enemy cars and implementing collision detection, introducing challenges and dynamic interactions for an engaging and thrilling gaming experience.
5. Introduction to Scrolling Background
In this video, you will receive an introduction to scrolling backgrounds in Pygame, exploring the techniques and principles that bring dynamic and visually captivating backgrounds to your game.
6. Adding Game Difficulty Levels
In this video, you will learn how to add game difficulty levels to your Pygame project, providing players with varying challenges and enhancing the adaptability and replay value of your game.
7. Adding Main Menu Page and Menu Buttons
In this video, you will discover how to add a main menu page and menu buttons to your Pygame project, creating a user-friendly interface that enhances navigation and overall player experience.
8. Fixing Errors and Making Buttons Interactive
In this video, you will tackle error fixing and make buttons interactive in your Pygame project, ensuring a smooth and responsive user interface for an enjoyable gaming experience.
9. Conclusion
In this final video, the author concludes the course and congratulates you for taking the course.

Unlock your creative prowess in the exhilarating realm of game development through this course. This step-by-step guide empowers you to grasp the nuances of crafting captivating 2D games using Python and the robust Pygame library. Understanding of concepts such as control flow, data structures, and object-oriented programming would be beneficial.

Python for Game Programming - Pygame from A to Z

<p>We love Python and in this course, we promise you will start feeling its true power too as you solve real life problems using Python. From building games, to using live data from the internet to plotting graphs, this course has it all.<br /><br />Choose this course, if your child is confidently using strings and if statements</p>

We love Python and in this course, we promise you will start feeling its true power too as you solve real life problems using Python. From building games, to using live data from the internet to plotting graphs, this course has it all.

Choose this course, if your child is confidently using strings and if statements

Riva Learning

Programming Languages

Computing

Choose this course, if your child is confidently using strings and if statements

Intermediate Python coding for teens

General admission

<p><strong>Introducing Coding using Python</strong></p>
<p>This course introduces your child to a very advanced, yet easy to learn programming languages &ndash; Python. It&rsquo;s safe to say that many apps we use today have been built using Python &ndash; Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.</p>

Introducing Coding using Python
This course introduces your child to a very advanced, yet easy to learn programming languages – Python. It’s safe to say that many apps we use today have been built using Python – Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.

Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

Introducing coding using Python

Welcome to the Bootcamp course. You will obtain a firm understanding of machine learning with this course. By doing so, you will be able to develop machine learning solutions for various challenges you might encounter and be prepared to start using machine learning at work or in technical interviews.
In this course, we will cover many different types of machine learning aspects. We will start by going through a sample machine learning project from an idea to developing a final working model. You will learn many important techniques around data preparation, cleaning, feature engineering, optimization and learning techniques, and much more. Once we have gone through the whole machine learning project, we will then dive deeper into several different areas of machine learning, to better understand each task, and how each of the models we can use to solve these tasks work, and then also using each model and understanding how we can tune all the parameters we learned about in the theory components. We will dive deeper into classification, regression, ensembles, dimensionality reduction, and unsupervised learning. At the end of this course, you should have a solid foundation of machine learning knowledge. You will be able to build machine learning solutions to different types of problems you will come across and be ready to start applying machine learning on the job or in technical interviews. All the resources for this course are available at: https://github.com/PacktPublishing/Python-Machine-Learning-Bootcamp
What You Will Learn
Learn how to take an ML idea and flush it out into a fully functioning project
Learn the different types of ML approaches and the models within each section
Get a theoretical and intuitive understanding of how each model works
See the practical application and implementation for each model we cover
Learn how to optimize models
Learn the common pitfalls and how to overcome them
Audience
This course is designed for beginner Python programmers and data scientists who want to understand ML (Machine Learning) models in depth and be able to use them in practice. Basic Python knowledge is required and some previous experience with the Pandas and Matplotlib libraries will be helpful.
Approach
This course focuses on covering first the theoretical background of how the model works so that you can build a proper intuition around its behavior. Then we will have the practical component, where we will implement the machine learning model and use it on actual data. In this way, you gain both hands-on as well as a solid theoretical foundation of how the different machine learning models work, and you will be able to use this knowledge to better choose and fix models, depending on the situation.
Key Features
Gain technical skills to use machine learning on the job or for your own projects * Dive deep into classification, regression, ensembles, dimensionality reduction, and unsupervised learning * Get ready to start applying machine learning on the job or in technical interviews
Github Repo
https://github.com/PacktPublishing/Python-Machine-Learning-Bootcamp
About the Author
Maximilian Schallwig
Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor's degree in physics and a master's degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python. Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for 'what does a data scientist do'. He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.
Course Outline
1. Pre-Machine Learning Steps

1. Course Introduction
Welcome to the course. In this video, we will get introduced to the course objective learning goals.
2. Setup and Installation
In this video, you will learn how to download, install, and set up our coding environment
3. Loading Datasets
In this video, you will learn how to load datasets in Jupyter Notebook.
4. Data Format
In this video, you will learn about data format.
5. Train Test Splitting
In this video, you will learn how to split train test.
6. Stratified Splitting
In this video, you will learn how to split out data.
7. Data Preparation and Exploration
In this video, you will learn about data preparation and exploration.
2. Machine Learning Workflow

1. Supervised Learning Introduction
In this video, we will get introduced to supervised learning.
2. Classification Introduction
In this video, we will get introduced to classification.
3. Logistic Regression Theory
In this video, we will understand what logistic regression is.
4. Gradient Descent
In this video, you will learn about gradient descent.
5. Types of Classification Problems
In this video, you will learn about types of classification problems.
6. Creating and Training a Binary Classifier
In this video, you will learn how to create and train a binary classifier.
7. Creating and Training a Multiclass Classifier
In this video, you will learn how to create and train a multiclass classifier.
8. Evaluating Classifiers Theory
In this video, we will understand what evaluating classifiers is.
9. Precision and Recall Theory
In this video, we will understand what precision and recall are.
10. ROC, Confusion Matrix, and Support Theory
In this video, we will understand what ROC, confusion matrix, and support are.
11. MNIST Dataset Introduction
In this video, we will get introduced to the MNIST dataset.
12. Evaluating Classifiers Practical
In this demo video, we will practice evaluating classifiers with the help of an example.
13. Validation Set
In this video, you will learn about validation set.
14. Cross-Validation
In this video, you will learn about cross-validation.
15. Hyperparameters
In this video, you will learn about hyperparameters.
16. Regularization Theory
In this video, we will understand what regularization is.
17. Generalization Error Sources
In this video, you will learn about generalization error sources.
18. Regularization Practical
In this demo video, we will practice regularization with the help of an example.
19. Grid and Randomized Search
In this video, you will learn about grid and randomized search.
20. Handling Missing Values
In this video, you will learn how to handle missing values.
21. Feature Scaling Theory
In this video, we will understand what feature scaling is.
22. Feature Scaling Practical
In this demo video, we will practice feature scaling with the help of an example.
23. Text and Categorical Data
In this video, you will learn about text and categorical data.
24. Transformation Pipelines
In this video, you will learn about transformation pipelines.
25. Custom Transformers
In this video, you will learn about custom transformers.
26. Column Specific Pipelines
In this video, you will learn about column specific pipelines.
27. Over and Undersampling
In this video, we will understand oversampling and undersampling.
28. Feature Importance
In this video, we will understand about feature importance.
29. Saving and Loading Models and Pipelines
In this video, you will learn how to save and load models and pipelines.
30. Post Prototyping
In this video, we will cover post prototyping.
3. Classification

1. Multilabel Classification
In this video, we will cover multilabel classification.
2. Polynomial Features
In this video, we will cover polynomial features.
3. SVM Theory
In this video, we will understand what Support Vector Machine (SVM) is, how it works, and more.
4. SVM Classification Practical
In this demo video, we will practice SVM classification with the help of an example.
5. KNN Classification Theory
In this video, we will understand KNN classification.
6. KNN Classification Practical
In this demo video, we will practice KNN classification with the help of an example.
7. Decision Tree Classifier Theory
In this video, we will understand decision tree classifier.
8. Decision Tree Pruning
In this video, we will cover decision tree pruning.
9. Decision Tree Practical
In this demo video, we will practice decision tree with the help of an example.
10. Random Forest Theory
In this video, we will understand what random forest is.
11. Random Forest Practical
In this demo video, we will practice random forest with the help of an example.
12. Naive Bayes Theory
In this video, we will understand what Naive Bayes is.
13. Naive Bayes Practical
In this demo video, we will practice Naive Bayes with the help of an example.
14. How to Choose a Model
In this video, you will learn how to choose a model.
4. Regression

1. Regression Introduction
In this video, we will get introduced to regression.
2. Linear Regression Practical
In this demo video, we will practice linear regression with the help of an example.
3. Regularized Linear Regression Practical
In this demo video, we will practice regularized linear regression with the help of an example.
4. Boston Housing Introduction
In this video, we will explore the Boston housing dataset.
5. Polynomial Regression
In this video, we will cover polynomial regression.
6. Regression Losses and Learning Rates
In this video, we will cover regression losses and learning rates.
7. SGD Regression
In this video, we will cover SGD regression.
8. KNN Regression Theory
In this video, we will understand what KNN regression is.
9. KNN Regression Practical
In this demo video, we will practice KNN regression with the help of an example.
10. SVM Regression Theory
In this video, we will understand what SVM regression is.
11. SVM Regression Practical
In this demo video, we will practice SVM regression with the help of an example.
12. Decision Tree Regression Theory
In this video, we will understand what decision tree regression is.
13. Decision Tree and Random Forest Regression Practical
In this demo video, we will practice decision tree and random forest regression with the help of an example.
14. Additional Regression Metrics
In this video, we will cover additional regression metrics.
5. Ensembles

1. Ensembles Introduction
In this video, we will get introduced to Ensembles.
2. Voting Ensembles Theory
In this video, we will understand what voting Ensembles is.
3. Voting Classification Practical
In this demo video, we will practice voting classification with the help of an example.
4. Voting Regression Practical
In this demo video, we will practice voting regression with the help of an example.
5. Bagging and Pasting Theory
In this video, we will understand what bagging and pasting are.
6. Bagging and Pasting Classification Practical
In this demo video, we will practice bagging and pasting classification with the help of an example.
7. Bagging and Pasting Regression Practical
In this demo video, we will practice bagging and pasting regression with the help of an example.
8. AdaBoost Theory
In this video, we will understand what AdaBoost is.
9. AdaBoost Classification Practical
In this demo video, we will practice AdaBoost classification with the help of an example.
10. AdaBoost Regression Practical
In this demo video, we will practice AdaBoost regression with the help of an example.
11. Gradient Boosting Theory
In this video, we will understand what gradient boosting is.
12. Gradient Boosting Classification Practical
In this demo video, you will learn how to implement gradient boosting classification with an example.
13. Gradient Boosting Regression Practical
In this demo video, we will practice gradient boosting regression with the help of an example.
14. Stacking and Blending Theory
In this video, we will understand what stacking and blending are.
15. Stacking Classifiers Practical
In this demo video, we will practice stacking classifiers with help of an example.
16. Stacking Regression Practical
In this demo video, we will practice stacking regression with help of an example.
6. Dimensionality Reduction

1. Dimensionality Reduction Introduction
In this video, we will get introduced to dimensionality reduction.
2. PCA Theory
In this video, we will understand what PCA is.
3. PCA Practical
In this demo video, we will practice PCA with the help of an example.
4. NNMF Theory
In this video, we will understand what NNMF is.
5. NNMF Practical
In this demo video, we will practice NNMF with the help of an example.
6. Isomap Theory
In this video, we will understand what Isomap is.
7. Isomap Practical
In this demo video, we will practice Isomap with the help of an example.
8. LLE Theory
In this video, we will understand what LLE is.
9. LLE Practical
In this demo video, we will practice LLE with the help of an example.
10. t-SNE Theory
In this video, we will understand what t-SNE is.
11. t-SNE Practical
In this demo video, we will practice t-SNE with the help of an example.
7. Unsupervised Learning

1. Unsupervised Learning Introduction
In this video, we will get introduced to unsupervised learning.
2. KMeans Theory
In this video, we will understand what KMeans is.
3. KMeans Practical
In this demo video, we will practice KMeans with the help of an example.
4. Choosing Number of Clusters Theory
In this video, we will understand how to choose a number of clusters.
5. Choosing Number of Clusters Practical
In this demo video, we will practice choosing a number of clusters with the help of an example.
6. DBSCAN Theory
In this video, we will understand what DBSCAN is.
7. DBSCAN Practical
In this demo video, we will practice DBSCAN with the help of an example.
8. Gaussian Mixture Theory
In this video, we will understand what Gaussian Mixture is.
9. Gaussian Mixture Practical
In this demo video, we will practice Gaussian Mixture with the help of an example.
10. Semi-Supervised Theory
In this video, we will understand semi-supervised.
11. Semi-Supervised Practical
In this demo video, we will practice semi-supervised with the help of an example.

Data Science

Welcome to the Bootcamp course. You will obtain a firm understanding of machine learning with this course. By doing so, you will be able to develop machine learning solutions for various challenges you might encounter and be prepared to start using machine learning at work or in technical interviews.

Python Machine Learning Bootcamp

<strong>Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.</strong>
        <p>SQL is the language that you can use to interact with one major database type (SQL databases), one that is very widespread in today's world.

Knowing SQL will give you a nice ability and understanding of how to handle data and databases and being able to integrate it into Python code enables you to create great, dynamic, and automatic systems that combine the power of programming and data.

In this course, you will be learning SQL. We will start by going through some fundamental knowledge such as learning about the relational model, as well as what schemas are, the different data types available, and how database tables are organized. Then we will go ahead and set up our own local Postgres database and populate it with data so that we have data to run queries against. Once our setup is done, we are then ready to jump directly into writing SQL code.

We will start with the basics such as creating databases and tables, inserting, and selecting data, and performing filtering and result order. This way, we can ensure we are comfortable with how the data is laid out and that we feel good performing the basic operations that usually make up all queries. Then we will jump deeper into SQL by learning about aggregations, subqueries, joins, unions, and window functions.

By the end of this course, you should be ready to successfully apply your SQL knowledge in technical interviews and on the job.

All the resources for this course are available at: https://github.com/PacktPublishing/Job-Ready-SQL-in-an-Afternoon</p>
        <h2>What You Will Learn</h2><p>Understand SQL databases<br>Understand the relational model<br>Learn to insert data into SQL databases<br>Extract data from SQL databases<br>Learn about aggregations, subqueries, joins, and unions<br>Learn about different window functions</p>
        <h2>Audience</h2><p>Anyone who wishes to learn about databases, integrate databases into their programs, or learn about SQL databases should take this course. One should be familiar with Python's fundamentals.</p>
        <h2>Approach</h2><p>In this practical, hands-on course, we will start with the fundamentals, such as building databases and tables, adding and choosing data, and performing filtering and result ordering. Then, by studying aggregations, subqueries, joins, unions, and window functions, we will dive even further into the world of SQL.</p>
        <h2>Key Features</h2><p>Write complex queries to perform tasks as required in technical interviews or on the job * A hands-on course, designed for complete beginners * Cover different self-learning exercises to improve your query-writing skills</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Job-Ready-SQL-in-an-Afternoon</p>
        <h2>About the Author</h2><h3>Maximilian Schallwig</h3><p>Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor's degree in physics and a master's degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python.

Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for 'what does a data scientist do'.

He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.</p>
        <h2>Course Outline</h2><h4>1. Fundamentals and Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro to Relational Databases</p><p style='margin: 0'>In this video, we will have a quick introduction to Relational databases.</p></td></tr><tr><td style='padding: 15px;'><p>2. Data Types and Schemas</p><p style='margin: 0'>In this video, you will learn about data types and schemas.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Mac] Setting Up a Local PostgreSQL Server</p><p style='margin: 0'>In this video, we will work on setting up a local PostgreSQL server for Mac systems.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Windows] Setting Up a Local PostgreSQL Server</p><p style='margin: 0'>In this video, we will work on setting up a local PostgreSQL server for Windows systems.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Mac] SQL Editor Postico</p><p style='margin: 0'>In this video, we will cover SQL Editor Postico for Mac.</p></td></tr><tr><td style='padding: 15px;'><p>6. SQL Editor DataGrip</p><p style='margin: 0'>In this video, we will explore SQL Editor DataGrip.</p></td></tr><tr><td style='padding: 15px;'><p>7. SQL Editor CLI (Command Line Interface)</p><p style='margin: 0'>In this video, we will explore SQL Editor CLI (Command Line Interface).</p></td></tr><tr><td style='padding: 15px;'><p>8. Creating and Removing a Database</p><p style='margin: 0'>In this video, you will learn how to create and remove a database.</p></td></tr></tbody></table><br><h4>2. Databases, Tables, and Basic Queries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating Schemas</p><p style='margin: 0'>In this video, you will learn how to create schemas.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating Tables</p><p style='margin: 0'>In this video, you will learn how to create tables.</p></td></tr><tr><td style='padding: 15px;'><p>3. Altering Tables</p><p style='margin: 0'>In this video, you will learn how to alter tables.</p></td></tr><tr><td style='padding: 15px;'><p>4. Enumerated Types</p><p style='margin: 0'>In this video, you will learn about Enumerated types.</p></td></tr><tr><td style='padding: 15px;'><p>5. Inserting Values</p><p style='margin: 0'>In this video, you will learn how to insert values.</p></td></tr><tr><td style='padding: 15px;'><p>6. Running an SQL Script</p><p style='margin: 0'>In this video, you will learn how to run an SQL script.</p></td></tr><tr><td style='padding: 15px;'><p>7. Reading Data</p><p style='margin: 0'>In this video, you will learn how to read data.</p></td></tr><tr><td style='padding: 15px;'><p>8. Creating Tables Using Query Results</p><p style='margin: 0'>In this video, you will learn how to create tables using query results.</p></td></tr><tr><td style='padding: 15px;'><p>9. Aliases and Ordering</p><p style='margin: 0'>In this video, you will learn about aliases and ordering.</p></td></tr></tbody></table><br><h4>3. Conditionals and Arithmetic</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Conditional Filtering Direct Comparisons</p><p style='margin: 0'>In this video, we will cover conditional filtering direct comparisons.</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Filtering Grouped Comparisons</p><p style='margin: 0'>In this video, we will cover conditional filtering grouped comparisons.</p></td></tr><tr><td style='padding: 15px;'><p>3. Joining Conditionals</p><p style='margin: 0'>In this video, we will cover joining conditionals.</p></td></tr><tr><td style='padding: 15px;'><p>4. Negating Conditionals</p><p style='margin: 0'>In this video, we will cover negating conditionals.</p></td></tr><tr><td style='padding: 15px;'><p>5. Filtering Null Values</p><p style='margin: 0'>In this video, we will cover filtering null values.</p></td></tr><tr><td style='padding: 15px;'><p>6. Creating New Columns and Arithmetic</p><p style='margin: 0'>In this video, you will learn how to create new columns and arithmetic.</p></td></tr><tr><td style='padding: 15px;'><p>7. Datatype Conversions</p><p style='margin: 0'>In this video, we will cover datatype conversions.</p></td></tr><tr><td style='padding: 15px;'><p>8. Logic Statements</p><p style='margin: 0'>In this video, we will cover the logic statements.</p></td></tr></tbody></table><br><h4>4. Dates, Times, and Manipulating Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Manipulating Strings</p><p style='margin: 0'>In this video, we will cover manipulating strings.</p></td></tr><tr><td style='padding: 15px;'><p>2. String Positional Information</p><p style='margin: 0'>In this video, we will cover string positional information.</p></td></tr><tr><td style='padding: 15px;'><p>3. String Subsets and Concatenations</p><p style='margin: 0'>In this video, we will cover string subsets and concatenations.</p></td></tr><tr><td style='padding: 15px;'><p>4. String Replacements</p><p style='margin: 0'>In this video, we will cover string replacements.</p></td></tr><tr><td style='padding: 15px;'><p>5. Date and Time</p><p style='margin: 0'>In this video, we will cover date and time.</p></td></tr><tr><td style='padding: 15px;'><p>6. Date and Time Intervals</p><p style='margin: 0'>In this video, we will cover date and time intervals.</p></td></tr><tr><td style='padding: 15px;'><p>7. Comments</p><p style='margin: 0'>In this video, we will cover comments.</p></td></tr><tr><td style='padding: 15px;'><p>8. Aggregation Functions</p><p style='margin: 0'>In this video, we will cover aggregation functions.</p></td></tr><tr><td style='padding: 15px;'><p>9. Grouping and Filtering Aggregations</p><p style='margin: 0'>In this video, you will learn how to group and filter aggregations.</p></td></tr></tbody></table><br><h4>5. Joins, Unions, and Subqueries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Inner Joins</p><p style='margin: 0'>In this video, we will cover inner joins.</p></td></tr><tr><td style='padding: 15px;'><p>2. Left, Right, and Outer Joins</p><p style='margin: 0'>In this video, we will cover left, right, and outer joins.</p></td></tr><tr><td style='padding: 15px;'><p>3. Self Joins</p><p style='margin: 0'>In this video, we will cover self joins.</p></td></tr><tr><td style='padding: 15px;'><p>4. Unions</p><p style='margin: 0'>In this video, we will cover unions.</p></td></tr><tr><td style='padding: 15px;'><p>5. Subqueries</p><p style='margin: 0'>In this video, we will cover subqueries.</p></td></tr><tr><td style='padding: 15px;'><p>6. CTEs</p><p style='margin: 0'>In this video, we will cover CTEs (Common Table Expressions).</p></td></tr></tbody></table><br><h4>6. Window Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Window Functions and Aliases</p><p style='margin: 0'>In this video, we will cover Window functions and aliases.</p></td></tr><tr><td style='padding: 15px;'><p>2. Row Numbers and Ranks</p><p style='margin: 0'>In this video, we will cover row numbers and ranks.</p></td></tr><tr><td style='padding: 15px;'><p>3. Using Other Rows with Window Functions</p><p style='margin: 0'>In this video, you will learn how to use other rows with Window functions.</p></td></tr><tr><td style='padding: 15px;'><p>4. NTiles</p><p style='margin: 0'>In this video, we will cover NTiles.</p></td></tr><tr><td style='padding: 15px;'><p>5. Understanding Query Performance</p><p style='margin: 0'>In this video, we will understand query performance.</p></td></tr></tbody></table><br><h4>7. Exercises</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Exercise 1</p><p style='margin: 0'>In this exercise video, we will practice understanding a new database, as we may not always be the creator of the database.</p></td></tr><tr><td style='padding: 15px;'><p>2. Exercise 2</p><p style='margin: 0'>In this exercise video, we will work on data filtering for easier analysis.</p></td></tr><tr><td style='padding: 15px;'><p>3. Exercise 3</p><p style='margin: 0'>In this exercise video, we will work on data preparation so that we have clean data to work with.</p></td></tr><tr><td style='padding: 15px;'><p>4. Exercise 4</p><p style='margin: 0'>In this exercise video, we will find out if there are any customers who purchased a track more than once.</p></td></tr><tr><td style='padding: 15px;'><p>5. Exercise 5</p><p style='margin: 0'>In this exercise video, we will find out how much people from each country spent on tracks in total.</p></td></tr></tbody></table>

Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.
SQL is the language that you can use to interact with one major database type (SQL databases), one that is very widespread in today's world. Knowing SQL will give you a nice ability and understanding of how to handle data and databases and being able to integrate it into Python code enables you to create great, dynamic, and automatic systems that combine the power of programming and data. In this course, you will be learning SQL. We will start by going through some fundamental knowledge such as learning about the relational model, as well as what schemas are, the different data types available, and how database tables are organized. Then we will go ahead and set up our own local Postgres database and populate it with data so that we have data to run queries against. Once our setup is done, we are then ready to jump directly into writing SQL code. We will start with the basics such as creating databases and tables, inserting, and selecting data, and performing filtering and result order. This way, we can ensure we are comfortable with how the data is laid out and that we feel good performing the basic operations that usually make up all queries. Then we will jump deeper into SQL by learning about aggregations, subqueries, joins, unions, and window functions. By the end of this course, you should be ready to successfully apply your SQL knowledge in technical interviews and on the job. All the resources for this course are available at: https://github.com/PacktPublishing/Job-Ready-SQL-in-an-Afternoon
What You Will Learn
Understand SQL databases
Understand the relational model
Learn to insert data into SQL databases
Extract data from SQL databases
Learn about aggregations, subqueries, joins, and unions
Learn about different window functions
Audience
Anyone who wishes to learn about databases, integrate databases into their programs, or learn about SQL databases should take this course. One should be familiar with Python's fundamentals.
Approach
In this practical, hands-on course, we will start with the fundamentals, such as building databases and tables, adding and choosing data, and performing filtering and result ordering. Then, by studying aggregations, subqueries, joins, unions, and window functions, we will dive even further into the world of SQL.
Key Features
Write complex queries to perform tasks as required in technical interviews or on the job * A hands-on course, designed for complete beginners * Cover different self-learning exercises to improve your query-writing skills
Github Repo
https://github.com/PacktPublishing/Job-Ready-SQL-in-an-Afternoon
About the Author
Maximilian Schallwig
Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor's degree in physics and a master's degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python. Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for 'what does a data scientist do'. He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.
Course Outline
1. Fundamentals and Setup

1. Intro to Relational Databases
In this video, we will have a quick introduction to Relational databases.
2. Data Types and Schemas
In this video, you will learn about data types and schemas.
3. [Mac] Setting Up a Local PostgreSQL Server
In this video, we will work on setting up a local PostgreSQL server for Mac systems.
4. [Windows] Setting Up a Local PostgreSQL Server
In this video, we will work on setting up a local PostgreSQL server for Windows systems.
5. [Mac] SQL Editor Postico
In this video, we will cover SQL Editor Postico for Mac.
6. SQL Editor DataGrip
In this video, we will explore SQL Editor DataGrip.
7. SQL Editor CLI (Command Line Interface)
In this video, we will explore SQL Editor CLI (Command Line Interface).
8. Creating and Removing a Database
In this video, you will learn how to create and remove a database.
2. Databases, Tables, and Basic Queries

1. Creating Schemas
In this video, you will learn how to create schemas.
2. Creating Tables
In this video, you will learn how to create tables.
3. Altering Tables
In this video, you will learn how to alter tables.
4. Enumerated Types
In this video, you will learn about Enumerated types.
5. Inserting Values
In this video, you will learn how to insert values.
6. Running an SQL Script
In this video, you will learn how to run an SQL script.
7. Reading Data
In this video, you will learn how to read data.
8. Creating Tables Using Query Results
In this video, you will learn how to create tables using query results.
9. Aliases and Ordering
In this video, you will learn about aliases and ordering.
3. Conditionals and Arithmetic

1. Conditional Filtering Direct Comparisons
In this video, we will cover conditional filtering direct comparisons.
2. Conditional Filtering Grouped Comparisons
In this video, we will cover conditional filtering grouped comparisons.
3. Joining Conditionals
In this video, we will cover joining conditionals.
4. Negating Conditionals
In this video, we will cover negating conditionals.
5. Filtering Null Values
In this video, we will cover filtering null values.
6. Creating New Columns and Arithmetic
In this video, you will learn how to create new columns and arithmetic.
7. Datatype Conversions
In this video, we will cover datatype conversions.
8. Logic Statements
In this video, we will cover the logic statements.
4. Dates, Times, and Manipulating Data

1. Manipulating Strings
In this video, we will cover manipulating strings.
2. String Positional Information
In this video, we will cover string positional information.
3. String Subsets and Concatenations
In this video, we will cover string subsets and concatenations.
4. String Replacements
In this video, we will cover string replacements.
5. Date and Time
In this video, we will cover date and time.
6. Date and Time Intervals
In this video, we will cover date and time intervals.
7. Comments
In this video, we will cover comments.
8. Aggregation Functions
In this video, we will cover aggregation functions.
9. Grouping and Filtering Aggregations
In this video, you will learn how to group and filter aggregations.
5. Joins, Unions, and Subqueries

1. Inner Joins
In this video, we will cover inner joins.
2. Left, Right, and Outer Joins
In this video, we will cover left, right, and outer joins.
3. Self Joins
In this video, we will cover self joins.
4. Unions
In this video, we will cover unions.
5. Subqueries
In this video, we will cover subqueries.
6. CTEs
In this video, we will cover CTEs (Common Table Expressions).
6. Window Functions

1. Window Functions and Aliases
In this video, we will cover Window functions and aliases.
2. Row Numbers and Ranks
In this video, we will cover row numbers and ranks.
3. Using Other Rows with Window Functions
In this video, you will learn how to use other rows with Window functions.
4. NTiles
In this video, we will cover NTiles.
5. Understanding Query Performance
In this video, we will understand query performance.
7. Exercises

1. Exercise 1
In this exercise video, we will practice understanding a new database, as we may not always be the creator of the database.
2. Exercise 2
In this exercise video, we will work on data filtering for easier analysis.
3. Exercise 3
In this exercise video, we will work on data preparation so that we have clean data to work with.
4. Exercise 4
In this exercise video, we will find out if there are any customers who purchased a track more than once.
5. Exercise 5
In this exercise video, we will find out how much people from each country spent on tracks in total.

PostgreSQL

Database Programming

Database

Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.

Job-Ready SQL in an Afternoon

<strong>All about containers, Docker, and Kubernetes for Python engineers.</strong>
        <p>Docker and Kubernetes are must-have skills for Python engineers these days. Whether your focus is on machine learning and data science or you use Python as a general programming language, you must understand Docker and Kubernetes, as they form the basis of modern cloud-native applications built using microservice architectures.
In this course, you'll learn to do the following:
&bull;	Develop and explore machine learning, data science, and Jupyter Notebooks in Docker
&bull;	Run machine learning models in production with Kubernetes and Docker Swarm
&bull;	Package your Python code into containers
&bull;	Publish your containers in image registries
&bull;	Deploy containers to production, both in Docker and Kubernetes
&bull;	Build highly modular, container-based services in a microservices way
&bull;	Monitor and maintain containerized apps
You can use the course in two ways:
&bull;	If you use Python for machine learning and data science, go top-down - start with section 7 to quickly develop practical Docker skills and use sections 2 to 6 to delve deeper into specific container topics
&bull;	If you want to use Python for building web apps and microservices, try the bottom-up approach - use the course in a linear way

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Python-in-Containers</p>
        <h2>What You Will Learn</h2><p>Build container images having Python applications and ship them to Docker Hub<br>Run Jupyter Notebooks and create virtual machines in Docker<br>Use Docker Desktop for Windows Pro and macOS and Docker Toolbox for Windows Home<br>Create custom container images from scratch and automate container image builds with Dockerfile<br>Design Flask and Django multi-container deployments and automate them with Docker Compose<br>Containerize TensorFlow models into microservices and use Kubernetes with Minikube on a development host<br>Deploy complex multi-container applications in Docker Swarm and Kubernetes</p>
        <h2>Audience</h2><p>This course is for Python programmers, data scientists, and machine learning engineers who want to use Python with Docker tools for building modern cloud-native applications.</p>
        <h2>Approach</h2><p>The course will develop your practical Docker skills and you can master Kubernetes and design your applications to run on Kubernetes</p>
        <h2>Key Features</h2><p>Become well-versed with using Docker tools to create top-class containers running your Python code * Master Docker runtime tools such as Compose and Swarm * Design your applications to run on Kubernetes and master writing Kubernetes object declarations</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-in-Containers</p>
        <h2>About the Author</h2><h3>Kris Celmer</h3><p>Kris Celmer is a Cloud Architect and has worked with many companies across Europe, Asia, and Africa, helping them to shape their private, public, and Telco clouds. He supports his customers in architecting cloud solutions, but also in the business aspects of cloud transformation. He has 25+ years' experience in the IT Industry, working at companies such as Sun Microsystems, NetApp, Citrix, and Huawei.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Docker Deep Dive</h4><p></p><br><h4>3. Build Container Images</h4><p></p><br><h4>4. Ship Containers</h4><p></p><br><h4>5. Run Containers in Docker</h4><p></p><br><h4>6. Run Containers in Kubernetes</h4><p></p><br><h4>7. Data Science & Machine Learning in Containers</h4><p></p>

All about containers, Docker, and Kubernetes for Python engineers.
Docker and Kubernetes are must-have skills for Python engineers these days. Whether your focus is on machine learning and data science or you use Python as a general programming language, you must understand Docker and Kubernetes, as they form the basis of modern cloud-native applications built using microservice architectures.
In this course, you'll learn to do the following:
•	Develop and explore machine learning, data science, and Jupyter Notebooks in Docker
•	Run machine learning models in production with Kubernetes and Docker Swarm
•	Package your Python code into containers
•	Publish your containers in image registries
•	Deploy containers to production, both in Docker and Kubernetes
•	Build highly modular, container-based services in a microservices way
•	Monitor and maintain containerized apps
You can use the course in two ways:
•	If you use Python for machine learning and data science, go top-down - start with section 7 to quickly develop practical Docker skills and use sections 2 to 6 to delve deeper into specific container topics
•	If you want to use Python for building web apps and microservices, try the bottom-up approach - use the course in a linear way All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Python-in-Containers
What You Will Learn
Build container images having Python applications and ship them to Docker Hub
Run Jupyter Notebooks and create virtual machines in Docker
Use Docker Desktop for Windows Pro and macOS and Docker Toolbox for Windows Home
Create custom container images from scratch and automate container image builds with Dockerfile
Design Flask and Django multi-container deployments and automate them with Docker Compose
Containerize TensorFlow models into microservices and use Kubernetes with Minikube on a development host
Deploy complex multi-container applications in Docker Swarm and Kubernetes
Audience
This course is for Python programmers, data scientists, and machine learning engineers who want to use Python with Docker tools for building modern cloud-native applications.
Approach
The course will develop your practical Docker skills and you can master Kubernetes and design your applications to run on Kubernetes
Key Features
Become well-versed with using Docker tools to create top-class containers running your Python code * Master Docker runtime tools such as Compose and Swarm * Design your applications to run on Kubernetes and master writing Kubernetes object declarations
Github Repo
https://github.com/PacktPublishing/Python-in-Containers
About the Author
Kris Celmer
Kris Celmer is a Cloud Architect and has worked with many companies across Europe, Asia, and Africa, helping them to shape their private, public, and Telco clouds. He supports his customers in architecting cloud solutions, but also in the business aspects of cloud transformation. He has 25+ years' experience in the IT Industry, working at companies such as Sun Microsystems, NetApp, Citrix, and Huawei.
Course Outline
1. Introduction

2. Docker Deep Dive

3. Build Container Images

4. Ship Containers

5. Run Containers in Docker

6. Run Containers in Kubernetes

7. Data Science & Machine Learning in Containers


Kubernetes

All about containers, Docker, and Kubernetes for Python engineers.

Python in Containers

<strong>Implement a hands-on Python GUI project: Build a Cryptocurrency portfolio app with Python, Tkinter, SQLite3, and the CoinMarketCap API</strong>
        <p>Welcome to Python GUI Programming - Building Desktop Applications with Tkinter and SQLite 

This course will help you build a Python GUI application step-by-step with Tkinter, SQLite. and the free CoinMarketCap API. Throughout the course, you will learn more about Python and Tkinter, including: 

&bull; Understanding API nd its usage. 
&bull; Extracting cryptocurrency coin data and working with it. 
&bull; Building portfolio logic on the command line then focusing on the GUI 
&bull; Getting started with Tkinter and Python GUI 
&bull; Merging your command-line application with Tkinter and completing the.py version. 
&bull; Converting the.py application to an executable .exe app. 
&bull; Understanding the basics of SQLite3 with Python. 

This course integrates all the aspects you need to get you on the road to becoming a successful Tkinter developer with proper live practical exercises and walk-throughs that take you from the basics to advanced use. 

After completing this course, you will be ready to expand your knowledge of Tkinter and Python. 

All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Python-GUI-Programming---Building-a-Desktop-Application-with-Tkinter-and-SQLite</p>
        <h2>What You Will Learn</h2><p>Build GUI apps with Python, Tkinter. and SQLite3 <br>Master the Web API and its usage in real projects <br>Master database and SQLite3 basics <br>Convert .py applications to working .exe applications</p>
        <h2>Audience</h2><p>This course targets existing Python developers who want to build GUI applications using Tkinter and anyone who wants to build desktop apps using Python.</p>
        <h2>Approach</h2><p>This exhaustive course is packed with step-by-step instructions, working examples, and source code and is divided into clear chunks so you can learn at your own pace, build projects, and see how it all works in practice.</p>
        <h2>Key Features</h2><p>Check different Cryptocurrency coin prices with a real API  * Build Portfolio logic and functionality from scratch  * Convert the.py application to an executable .exe app that can be used in real life</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-gui-programming---building-a-desktop-application-with-tkinter-and-sqlite</p>
        <h2>About the Author</h2><h3>Shubham Sarda</h3><p>Shubham is a software developer and digital marketer with a passion for teaching. He has worked with many funded start-ups, self-projects, and as a top-rated freelancer on multiple marketplaces. Currently, he stands among the top 700 freelancers with over 2,500+ projects on Fiverr, PeoplePerHour, Freelancer, and more.

As an instructor, he has taught programming and digital marketing to over 20,000 students, both with online courses and offline bootcamps. He has mastered explaining complex topics in the simplest form that is easy to understand and follow. His video courses are also used by companies to train their employees and by colleges to prepare and upgrade their students according to the latest industry requirements.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. CoinMarketCap API</h4><p></p><br><h4>3. Working with Data</h4><p></p><br><h4>4. Working with Portfolio</h4><p></p><br><h4>5. Tkinter</h4><p></p><br><h4>6. Application Formatting</h4><p></p><br><h4>7. Converting .PY File to .EXE File</h4><p></p><br><h4>8. Database Basics - SQLite3</h4><p></p><br><h4>9. Connecting Database with Tkinter Application</h4><p></p><br><h4>10. Modifying Application</h4><p></p><br><h4>11. Adding Insert, Update, Delete Buttons</h4><p></p><br><h4>12. Clearing Tkinter Window</h4><p></p><br><h4>13. Adding Notification and Navigation System</h4><p></p><br><h4>14. Bonus - Git Introduction and Version Control System</h4><p></p>

Implement a hands-on Python GUI project: Build a Cryptocurrency portfolio app with Python, Tkinter, SQLite3, and the CoinMarketCap API
Welcome to Python GUI Programming - Building Desktop Applications with Tkinter and SQLite This course will help you build a Python GUI application step-by-step with Tkinter, SQLite. and the free CoinMarketCap API. Throughout the course, you will learn more about Python and Tkinter, including: • Understanding API nd its usage. • Extracting cryptocurrency coin data and working with it. • Building portfolio logic on the command line then focusing on the GUI • Getting started with Tkinter and Python GUI • Merging your command-line application with Tkinter and completing the.py version. • Converting the.py application to an executable .exe app. • Understanding the basics of SQLite3 with Python. This course integrates all the aspects you need to get you on the road to becoming a successful Tkinter developer with proper live practical exercises and walk-throughs that take you from the basics to advanced use. After completing this course, you will be ready to expand your knowledge of Tkinter and Python. All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Python-GUI-Programming---Building-a-Desktop-Application-with-Tkinter-and-SQLite
What You Will Learn
Build GUI apps with Python, Tkinter. and SQLite3 
Master the Web API and its usage in real projects 
Master database and SQLite3 basics 
Convert .py applications to working .exe applications
Audience
This course targets existing Python developers who want to build GUI applications using Tkinter and anyone who wants to build desktop apps using Python.
Approach
This exhaustive course is packed with step-by-step instructions, working examples, and source code and is divided into clear chunks so you can learn at your own pace, build projects, and see how it all works in practice.
Key Features
Check different Cryptocurrency coin prices with a real API * Build Portfolio logic and functionality from scratch * Convert the.py application to an executable .exe app that can be used in real life
Github Repo
https://github.com/packtpublishing/python-gui-programming---building-a-desktop-application-with-tkinter-and-sqlite
About the Author
Shubham Sarda
Shubham is a software developer and digital marketer with a passion for teaching. He has worked with many funded start-ups, self-projects, and as a top-rated freelancer on multiple marketplaces. Currently, he stands among the top 700 freelancers with over 2,500+ projects on Fiverr, PeoplePerHour, Freelancer, and more. As an instructor, he has taught programming and digital marketing to over 20,000 students, both with online courses and offline bootcamps. He has mastered explaining complex topics in the simplest form that is easy to understand and follow. His video courses are also used by companies to train their employees and by colleges to prepare and upgrade their students according to the latest industry requirements.
Course Outline
1. Course Introduction

2. CoinMarketCap API

3. Working with Data

4. Working with Portfolio

5. Tkinter

6. Application Formatting

7. Converting .PY File to .EXE File

8. Database Basics - SQLite3

9. Connecting Database with Tkinter Application

10. Modifying Application

11. Adding Insert, Update, Delete Buttons

12. Clearing Tkinter Window

13. Adding Notification and Navigation System

14. Bonus - Git Introduction and Version Control System


Implement a hands-on Python GUI project: Build a Cryptocurrency portfolio app with Python, Tkinter, SQLite3, and the CoinMarketCap API

Python GUI Programming - Building a Desktop Application with Tkinter and SQLite

London

<div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Python BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.</strong></p></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PYTHON BOOTCAMP:</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This 12-week Python Boot Camp is a practical, instructor-lead program, covering Python from start to in-depth. You will be fully fluent and confident as a Python programmer.</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">If you have more questions goto&nbsp;<a href="http://pcworkshopslondon.co.uk/contact.html" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="66" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">https://pcworkshopslondon.co.uk/contact.html&nbsp;</a>,</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Or&nbsp;<a href="https://pcworkshopslondon.co.uk/" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="67" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">contact us on training@pcworkshopslondon.co.uk</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><a href="https://pcworkshopslondon.co.uk/contact.htm" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="68" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">C﻿ustomise dates, course outline, arrange installments</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">This course will give you enough&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">practical experience and practical projects</strong>&nbsp;to code, to give you full confidence to enter into the coding profession. &nbsp;&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration:&nbsp;</strong>3 months:</p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">1 Python class per week,</li><li fr-original-style="" style="box-sizing: border-box;">Plus pratical work,</li><li fr-original-style="" style="box-sizing: border-box;">Plus personal trainer-mentor for 1-1 training,</li><li fr-original-style="" style="box-sizing: border-box;">Plus e-learning materials.</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Final project :&nbsp;</strong>Practical to upload to&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">GitHub&nbsp;</strong>and show-case</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Date and times, choose:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fridays in London or Online&nbsp;</strong>, 10am - 5pm,</li><li fr-original-style="" style="box-sizing: border-box;">or&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Saturdays in London or Online&nbsp;</strong>, 12noon-6pm,</li><li fr-original-style="" style="box-sizing: border-box;">o﻿r negotiate your date</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study level:</strong> Start from beginners level to in-depth, ready to work professionally.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Virtual attendance: &nbsp;</strong>online instructor-led&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>: Anaconda.com</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Pre-requisites:&nbsp;</strong>General computer literacy.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Oracle Qualification:&nbsp;</strong>PCWorkshops Python Programmer Certificate</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Payments:</strong>&nbsp; You may apply to pay in installments for this Python Training course</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE OUTLINE</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 1 - 4: Essentials</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Python Coding Basics</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Object Oriented programming:&nbsp;</strong>Python Object Orientated programming (OOP)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UX Principles:&nbsp;</strong>UX Principles and applying it on Front-ends with TKinter</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Specialised topics:&nbsp;</strong>Dates, Localization, Strings, Maths Operation , Random Number,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lambdas</strong></li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 5 - 10 : All about data</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Data Structures:</strong>&nbsp;Lists, Tuples, Sets,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exceptions</strong>, I/O Fundamentals , Reading and Writing file</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database:&nbsp;</strong>Database principles and SQL.&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database Project:&nbsp;</strong>Python database connections and creating a database driven project</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Numpy. Pandas for data analytics and data queries.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data visualisation:&nbsp;</strong>MatPlotLib</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Prediction:&nbsp;</strong>Machine Learning Basics</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 11 and 12: The final touch</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Concurrency and Multi-threading:</strong>&nbsp;Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Unit Testing</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">O﻿ptional&nbsp;</strong>: Replace Week 11 or 12 with Scraping using Python, ot Tkinter Front-ends</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">I﻿NCLUDED:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">PCWorkshops Python Course Certificate on completion.</li><li fr-original-style="" style="box-sizing: border-box;">Python Course notes.</li><li fr-original-style="" style="box-sizing: border-box;">Practical Course exercises, Code Examples, Online Materials.</li><li fr-original-style="" style="box-sizing: border-box;">After the course, continuous assistance with practical and preparation for exams</li><li fr-original-style="" style="box-sizing: border-box;">Max group size on this is 4.</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: Post your Python project online.</li><li fr-original-style="" style="box-sizing: border-box;">Exam preparation and interview questions</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">MORE ABOUT THE ONLINE CLASSROOM</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Attend from your internet connection</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Instructor-led, get instant answers to your questions</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Fully interactive</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Work clearly explained with demonstrations and examples</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Practical exercises to be tried out by delegate</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">WHAT YOU WILL GAIN:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Skills &amp; knowledge: Python coding knowledge and understanding with good practical application &nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Certification:&nbsp;Internal PCWorkshops Python certificate</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: You will have an online portfolio of Python projects&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Experience:&nbsp;Our comprehensive practical makes you job ready</li></ul></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F444528299%2F44980801875%2F1%2Foriginal.20230212-111230?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=bc03bf9766e6c9ca0436ac60d0be83d6" alt="" data-airgap-id="88" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588336959%2F44980801875%2F1%2Foriginal.20230901-170557?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=e4036ff76e1af36cfba9452461b16c48" alt="" data-airgap-id="87" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337149%2F44980801875%2F1%2Foriginal.20230901-170614?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=cdf1fcea5ad47abc354df67b458d5237" alt="" data-airgap-id="89" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337349%2F44980801875%2F1%2Foriginal.20230901-170630?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=839d02fa3087d55ac858bcbb697972f5" alt="" data-airgap-id="86" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><div style="color: rgb(30, 10, 60); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(30, 10, 60);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Refund Policy</h2></div><div style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">No Refunds</div>

This Python Data Analytics BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.



Data Analytics BOOT CAMP with Python:
This 8-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .
You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.
From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards
The course is a practical, instructor-lead program.

If you have more questions goto https://pcworkshopslondon.co.uk/contact.html,
Or contact us on training@pcworkshopslondon.co.uk
C﻿ustomise dates, course outline, arrange installments
This course will give you enough practical experience and practical projects to code, to give you full confidence to enter into the coding profession. 
Duration: 8 weeks:
1 Python class per week,
Plus practical work,
Plus personal trainer-mentor for 1-1 training,
Plus e-learning materials.
Final project : Practical to upload to GitHub and show-case
Date and times, choose:
Choose a start date from the list , to make you booking, and from there once a week for 8 weeks.
Study level: Start from beginners level to in-depth, ready to work professionally.
Virtual attendance: online instructor-led 
Download: Anaconda.com
Pre-requisites: General computer literacy.
Oracle Qualification: PCWorkshops Python Programmer Certificate
Payments: You may apply to pay in instalments for this Python Training course
COURSE OUTLINE
W﻿eek 1 - 3:  Essentials
Python Coding Basics
Object Oriented programming: Python Object Orientated programming (OOP)
UX Principles: UX Principles and applying it on Front-ends with TKinter

Specialised topics: Dates, Localization, Strings, Maths Operation , Random Number, Lambdas
W﻿eek 4 - 7: All about data
Python Data Structures: Lists, Tuples, Sets, Exceptions, I/O Fundamentals , Reading and Writing file . 

Database: Database principles and SQL. Database Project: Python database connections and creating a database driven project
Data Analytics: Numpy. Pandas for data analytics and data queries.
Data Analytics: Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.
Data visualisation: MatPlotLib

Prediction: Machine Learning Basics
W﻿eek 8: The final touch
Python Concurrency and Multi-threading: Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks
Python Unit Testing

I﻿NCLUDED:
PCWorkshops Python Course Certificate on completion.
Python Course notes.
Practical Course exercises, Code Examples, Online Materials.
After the course, continuous assistance with practical and preparation for exams
Max group size on this is 4.
Portfolio: Post your Python project online.
Exam preparation and interview questions
MORE ABOUT THE ONLINE CLASSROOM
Attend from your internet connection
Instructor-led, get instant answers to your questions
Fully interactive
Work clearly explained with demonstrations and examples
Practical exercises to be tried out by delegate
WHAT YOU WILL GAIN:
Skills & knowledge: Python coding knowledge and understanding with good practical application
Certification: Internal PCWorkshops Python certificate
Portfolio: You will have an online portfolio of Python projects
Experience: Our comprehensive practical makes you job ready






Refund Policy
No Refunds

PCWorkshops

PYTHON BOOTCAMP:



This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .



You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.



From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards



The course is a practical, instructor-lead program.



Data Analytics BootCamp, 12-weeks, Online Instructor-led

Python Bootcamp Saturdays, Online

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					<div><p><span>Are you looking to secure a career in Python programming or software engineering?</span></p><p><span>The</span><b> Python Programming</b><span> course will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through audiovisual training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will teach you how to get set up on Mac OS X, Linux, and Ubuntu, best practices for string formatting, handling exceptions, and much more.</span></p><p><span>This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro.</span></p></div>
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					<div><p>This best selling <strong>Python Programming </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Python Programming </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Python Programming </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Python Programming </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Python Programming</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Python Programming </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Python Programming </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
Are you looking to secure a career in Python programming or software engineering?
The Python Programming course will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through audiovisual training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will teach you how to get set up on Mac OS X, Linux, and Ubuntu, best practices for string formatting, handling exceptions, and much more.
This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro.
This best selling Python Programming has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Python Programming is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Python Programming is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Python Programming is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Python Programming, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Python Programming will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Python Programming to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Course Cloud

Python Programming

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.
'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author. Python is the programming language most loved by developers, data scientists, software engineers, and even hackers. This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django. It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server. By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently. The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming
What You Will Learn
Learn the basics of Python

Learn networking and database access using Python and CGI programming

Understand the Python debugger

Understand web scraping using Beautiful Soup

Learn about Python Unittest

Build a Python chat server
Audience
This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.
Approach
This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.
Key Features
Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course
Github Repo
https://github.com/packtpublishing/python-programming
About the Author
Learnkart Technology Private Limited
Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.
Course Outline
1. Course Introduction

2. Python Basics

3. Data Operations

4. Conditional Statements and Functions

5. Error Handling and File Operations

6. Shell Scripting and Django

7. Course End Project


You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

<strong>Learn Python programming by developing robust GUIs and games</strong>
        <p>Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners</p>
        <h2>What You Will Learn</h2><p>Build simple Python-based games using programming loops and functions<br>Draw graphics using the Python module Turtle<br>Develop Python graphical user interfaces with Tkinter<br>Understand how to work with Python 2 and 3<br>Use the in-built Python modules for your projects<br>Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages</p>
        <h2>Audience</h2><p>If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.</p>
        <h2>Approach</h2><p>The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.</p>
        <h2>Key Features</h2><p>Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Project Based Python Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Course & Me</p><p style='margin: 0'>Introduction to Project Based Python Programming: Introduction to the Course & Me</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Installation for Windows</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Installation for Other OS</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Other OS</p></td></tr><tr><td style='padding: 15px;'><p>4. Online Python IDLE</p><p style='margin: 0'>Introduction to Project Based Python Programming: Online Python IDLE</p></td></tr><tr><td style='padding: 15px;'><p>5. Hello World in Python</p><p style='margin: 0'>Introduction to Project Based Python Programming: Hello World in Python</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Coding with Visual Studio</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Coding with Visual Studio</p></td></tr><tr><td style='padding: 15px;'><p>7. Some Common Python Terms</p><p style='margin: 0'>Introduction to Project Based Python Programming: Some Common Python Terms</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Introduction to Project Based Python Programming: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Diving into the Python Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Arithmetic in Python</p><p style='margin: 0'>Diving into the Python Basics: Basic Arithmetic in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Welcome to the World of Data Types</p><p style='margin: 0'>Diving into the Python Basics: Welcome to the World of Data Types</p></td></tr><tr><td style='padding: 15px;'><p>3. Random Number Generation</p><p style='margin: 0'>Diving into the Python Basics: Random Number Generation</p></td></tr><tr><td style='padding: 15px;'><p>4. Working With Strings</p><p style='margin: 0'>Diving into the Python Basics: Working With Strings</p></td></tr><tr><td style='padding: 15px;'><p>5. Get User Inputs</p><p style='margin: 0'>Diving into the Python Basics: Get User Inputs</p></td></tr><tr><td style='padding: 15px;'><p>6. Tuples</p><p style='margin: 0'>Diving into the Python Basics: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>7. Lists</p><p style='margin: 0'>Diving into the Python Basics: Lists</p></td></tr><tr><td style='padding: 15px;'><p>8. Dictionaries</p><p style='margin: 0'>Diving into the Python Basics: Dictionaries</p></td></tr><tr><td style='padding: 15px;'><p>9. Defining our Own Functions in Python-Basic</p><p style='margin: 0'>Diving into the Python Basics: Defining our Own Functions in Python-Basic</p></td></tr><tr><td style='padding: 15px;'><p>10. Some More On Functions</p><p style='margin: 0'>Diving into the Python Basics: Some More On Functions</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusions to Section 2</p><p style='margin: 0'>Diving into the Python Basics: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Decision Making with Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rationale for this section</p><p style='margin: 0'>Decision Making with Programming: Rationale for this section</p></td></tr><tr><td style='padding: 15px;'><p>2. if-else loops</p><p style='margin: 0'>Decision Making with Programming: if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>3. elif in if-else loops</p><p style='margin: 0'>Decision Making with Programming: elif in if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>4. while loop</p><p style='margin: 0'>Decision Making with Programming: while loop</p></td></tr><tr><td style='padding: 15px;'><p>5. for loop</p><p style='margin: 0'>Decision Making with Programming: for loop</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Loops</p><p style='margin: 0'>Decision Making with Programming: More on Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Nested For Loop</p><p style='margin: 0'>Decision Making with Programming: Nested For Loop</p></td></tr><tr><td style='padding: 15px;'><p>8. Build a Number Guessing Game!!-Basic</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Basic</p></td></tr><tr><td style='padding: 15px;'><p>9. Build a Number Guessing Game!!-Advanced</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Advanced</p></td></tr><tr><td style='padding: 15px;'><p>10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p><p style='margin: 0'>Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusion to Section 3</p><p style='margin: 0'>Decision Making with Programming: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Graphics with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working With Graphics in Python</p><p style='margin: 0'>Graphics with Python: Working With Graphics in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Draw a Square</p><p style='margin: 0'>Graphics with Python: Draw a Square</p></td></tr><tr><td style='padding: 15px;'><p>3. The Idea Behind Angles</p><p style='margin: 0'>Graphics with Python: The Idea Behind Angles</p></td></tr><tr><td style='padding: 15px;'><p>4. Draw a Rectangle Using Loops</p><p style='margin: 0'>Graphics with Python: Draw a Rectangle Using Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. Create a Rectangle Function</p><p style='margin: 0'>Graphics with Python: Create a Rectangle Function</p></td></tr><tr><td style='padding: 15px;'><p>6. Code Along1: Draw an Equilateral Triangle</p><p style='margin: 0'>Graphics with Python: Code Along1: Draw an Equilateral Triangle</p></td></tr><tr><td style='padding: 15px;'><p>7. Code Along2: Draw an Equilateral Triangle With Loops</p><p style='margin: 0'>Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Code an Irregular Shape: Start a Snowflake</p><p style='margin: 0'>Graphics with Python: Code an Irregular Shape: Start a Snowflake</p></td></tr><tr><td style='padding: 15px;'><p>9. Snowflakes!!</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 4</p><p style='margin: 0'>Graphics with Python: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. GUI Programming with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Start with GUIs in Python</p><p style='margin: 0'>GUI Programming with Python: Start with GUIs in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Create a Simple Button With tkinter</p><p style='margin: 0'>GUI Programming with Python: Create a Simple Button With tkinter</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Functionality to the Button</p><p style='margin: 0'>GUI Programming with Python: Add Functionality to the Button</p></td></tr><tr><td style='padding: 15px;'><p>4. The Tkinter Grid</p><p style='margin: 0'>GUI Programming with Python: The Tkinter Grid</p></td></tr><tr><td style='padding: 15px;'><p>5. Common Tkinter GUI Widgets</p><p style='margin: 0'>GUI Programming with Python: Common Tkinter GUI Widgets</p></td></tr><tr><td style='padding: 15px;'><p>6. Canvas for Drawing-part1</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part1</p></td></tr><tr><td style='padding: 15px;'><p>7. Canvas for Drawing-part2</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part2</p></td></tr><tr><td style='padding: 15px;'><p>8. Simple Expression Evaluator</p><p style='margin: 0'>GUI Programming with Python: Simple Expression Evaluator</p></td></tr><tr><td style='padding: 15px;'><p>9. Start With the Temperature Conversion App</p><p style='margin: 0'>GUI Programming with Python: Start With the Temperature Conversion App</p></td></tr><tr><td style='padding: 15px;'><p>10. Complete the App-1</p><p style='margin: 0'>GUI Programming with Python: Complete the App-1</p></td></tr><tr><td style='padding: 15px;'><p>11. Complete the App-2</p><p style='margin: 0'>GUI Programming with Python: Complete the App-2</p></td></tr></tbody></table>

Learn Python programming by developing robust GUIs and games
Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners
What You Will Learn
Build simple Python-based games using programming loops and functions
Draw graphics using the Python module Turtle
Develop Python graphical user interfaces with Tkinter
Understand how to work with Python 2 and 3
Use the in-built Python modules for your projects
Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages
Audience
If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.
Approach
The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.
Key Features
Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python
Github Repo
https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners
About the Author
Minerva Singh
Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.
Course Outline
1. Introduction to Project Based Python Programming

1. Introduction to the Course & Me
Introduction to Project Based Python Programming: Introduction to the Course & Me
2. Python Installation for Windows
Introduction to Project Based Python Programming: Python Installation for Windows
3. Python Installation for Other OS
Introduction to Project Based Python Programming: Python Installation for Other OS
4. Online Python IDLE
Introduction to Project Based Python Programming: Online Python IDLE
5. Hello World in Python
Introduction to Project Based Python Programming: Hello World in Python
6. Python Coding with Visual Studio
Introduction to Project Based Python Programming: Python Coding with Visual Studio
7. Some Common Python Terms
Introduction to Project Based Python Programming: Some Common Python Terms
8. Conclusion to Section 1
Introduction to Project Based Python Programming: Conclusion to Section 1
2. Diving into the Python Basics

1. Basic Arithmetic in Python
Diving into the Python Basics: Basic Arithmetic in Python
2. Welcome to the World of Data Types
Diving into the Python Basics: Welcome to the World of Data Types
3. Random Number Generation
Diving into the Python Basics: Random Number Generation
4. Working With Strings
Diving into the Python Basics: Working With Strings
5. Get User Inputs
Diving into the Python Basics: Get User Inputs
6. Tuples
Diving into the Python Basics: Tuples
7. Lists
Diving into the Python Basics: Lists
8. Dictionaries
Diving into the Python Basics: Dictionaries
9. Defining our Own Functions in Python-Basic
Diving into the Python Basics: Defining our Own Functions in Python-Basic
10. Some More On Functions
Diving into the Python Basics: Some More On Functions
11. Conclusions to Section 2
Diving into the Python Basics: Conclusions to Section 2
3. Decision Making with Programming

1. Rationale for this section
Decision Making with Programming: Rationale for this section
2. if-else loops
Decision Making with Programming: if-else loops
3. elif in if-else loops
Decision Making with Programming: elif in if-else loops
4. while loop
Decision Making with Programming: while loop
5. for loop
Decision Making with Programming: for loop
6. More on Loops
Decision Making with Programming: More on Loops
7. Nested For Loop
Decision Making with Programming: Nested For Loop
8. Build a Number Guessing Game!!-Basic
Decision Making with Programming: Build a Number Guessing Game!!-Basic
9. Build a Number Guessing Game!!-Advanced
Decision Making with Programming: Build a Number Guessing Game!!-Advanced
10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced
Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced
11. Conclusion to Section 3
Decision Making with Programming: Conclusion to Section 3
4. Graphics with Python

1. Working With Graphics in Python
Graphics with Python: Working With Graphics in Python
2. Draw a Square
Graphics with Python: Draw a Square
3. The Idea Behind Angles
Graphics with Python: The Idea Behind Angles
4. Draw a Rectangle Using Loops
Graphics with Python: Draw a Rectangle Using Loops
5. Create a Rectangle Function
Graphics with Python: Create a Rectangle Function
6. Code Along1: Draw an Equilateral Triangle
Graphics with Python: Code Along1: Draw an Equilateral Triangle
7. Code Along2: Draw an Equilateral Triangle With Loops
Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops
8. Code an Irregular Shape: Start a Snowflake
Graphics with Python: Code an Irregular Shape: Start a Snowflake
9. Snowflakes!!
Unsupervised Learning in Python: Hierarchical Clustering-practical
10. Conclusions to Section 4
Graphics with Python: Conclusions to Section 4
5. GUI Programming with Python

1. Start with GUIs in Python
GUI Programming with Python: Start with GUIs in Python
2. Create a Simple Button With tkinter
GUI Programming with Python: Create a Simple Button With tkinter
3. Add Functionality to the Button
GUI Programming with Python: Add Functionality to the Button
4. The Tkinter Grid
GUI Programming with Python: The Tkinter Grid
5. Common Tkinter GUI Widgets
GUI Programming with Python: Common Tkinter GUI Widgets
6. Canvas for Drawing-part1
GUI Programming with Python: Canvas for Drawing-part1
7. Canvas for Drawing-part2
GUI Programming with Python: Canvas for Drawing-part2
8. Simple Expression Evaluator
GUI Programming with Python: Simple Expression Evaluator
9. Start With the Temperature Conversion App
GUI Programming with Python: Start With the Temperature Conversion App
10. Complete the App-1
GUI Programming with Python: Complete the App-1
11. Complete the App-2
GUI Programming with Python: Complete the App-2

Learn Python programming by developing robust GUIs and games

Project-Based Python Programming For Kids and Beginners

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					<div><p>The comprehensive Basic Python Programming  has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Basic Python Programming  today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Basic Python Programming  has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Basic Python Programming  is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Basic Python Programming  is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Basic Python Programming  is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Basic Python Programming , you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Basic Python Programming  will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Basic Python Programming  to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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The comprehensive Basic Python Programming has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Basic Python Programming today, and learn from the very best the industry has to offer!
This best selling Basic Python Programming has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Basic Python Programming is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Basic Python Programming is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Basic Python Programming is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Basic Python Programming , you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Basic Python Programming will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Basic Python Programming to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Basic Python Programming

<h3><b>Overview</b></h3><p><span>With the ever-increasing demand for Python Programming  in personal &amp; professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Python Programming  may be.</span></p><p><span>Learning about Python Programming  or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Python Programming . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Python Programming  is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.</span></p><p><span>The self-paced online learning methodology by compete high in this Python Programming  course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!</span></p><p><span>Instead of searching for hours, enrol right away on this Python Programming  course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.</span></p><h3><b>Who is this course for?</b></h3><p><span>While we refrain from discouraging anyone wanting to do this Python Programming  course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:</span></p><ol><li><span>Anyone looking for the basics of Python Programming ,</span></li><li><span>Jobseekers in the relevant domains,</span></li><li><span>Anyone with a ground knowledge/intermediate expertise in Python Programming ,</span></li><li><span>Anyone looking for a certificate of completion on doing an online training on this topic,</span></li><li><span>Students of Python Programming , or anyone with an academic knowledge gap to bridge,</span></li><li><span>Anyone with a general interest/curiosity</span></li></ol><h3><b>Career Path</b></h3><p><span>This Python Programming  course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. </span></p><p> </p><div><div><div><h3>
Course Curriculum</h3><div><div><h4>
Module-1-Introduction-to-Python.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Introduction-to-Python.pdf</h5></div><div>
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00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-2-Variables.pdf</h4><div><div><ul><li><div>
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Variables.pdf</h5></div><div>
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00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-3-Conditional-Statement.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Conditional-Statement.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-4-Loops.pdf</h4><div><div><ul><li><div>
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Loops.pdf</h5></div><div>
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Module-5-Functions.pdf</h4><div><div><ul><li><div>
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Functions.pdf</h5></div><div>
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00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-6-Objects.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Objects.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div></div></div></div></div>

Overview
With the ever-increasing demand for Python Programming in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Python Programming may be.
Learning about Python Programming or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Python Programming . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Python Programming is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.
The self-paced online learning methodology by compete high in this Python Programming course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!
Instead of searching for hours, enrol right away on this Python Programming course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.
Who is this course for?
While we refrain from discouraging anyone wanting to do this Python Programming course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:
Anyone looking for the basics of Python Programming ,
Jobseekers in the relevant domains,
Anyone with a ground knowledge/intermediate expertise in Python Programming ,
Anyone looking for a certificate of completion on doing an online training on this topic,
Students of Python Programming , or anyone with an academic knowledge gap to bridge,
Anyone with a general interest/curiosity
Career Path
This Python Programming course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. 
 

Course Curriculum
Module-1-Introduction-to-Python.pdf
Introduction-to-Python.pdf

00:00
Module-2-Variables.pdf
Variables.pdf

00:00
Module-3-Conditional-Statement.pdf
Conditional-Statement.pdf

00:00
Module-4-Loops.pdf
Loops.pdf

00:00
Module-5-Functions.pdf
Functions.pdf

00:00
Module-6-Objects.pdf
Objects.pdf

00:00

Compete High

Online Course Creation

Programming Fundamentals

Computer Programming

Trainers Course

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					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming  that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
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										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
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										<span>Get help from our expert tutors anytime you need</span>
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										<span>Access to course contents that are designed and prepared by industry professionals</span>
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										<span>Study at your convenient time and from wherever you want</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
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										<span>You will receive a completion certificate upon completing the course.</span>
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										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
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										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
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										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
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										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
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										<span>Access to a computer or digital device with internet connectivity.</span>
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Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
 Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
 Why should I take this course?
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
 Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.

Skill Up

Get ready for a comprehensive Python programming journey! Master the fundamentals, tackle advanced concepts, and build real-world projects. Join now!

Python Programming Complete Training

<strong>Learn Python Programming using a Step By Step Approach with 200+ code examples.</strong>
        <p>Python is one of the most popular programming languages. Python offers both object-oriented and structural programming features. We love Programming. Our aim with this course is to create a love for Programming. 
In more than 150 Steps, we explore the most important Python Programming Language Features
??Basics of Python Programming - Expressions, Variables, and Printing Output
??Python Operators - Python Assignment Operator, Relational and Logical Operators, Short Circuit Operators
??Python Conditionals and If Statement
??Methods - Parameters, Arguments and Return Values
??An Overview Of Python Platform
??Object-Oriented Programming - Class, Object, State and Behavior
??Basics of OOPS - Encapsulation, Inheritance and Abstract Class.
??Basics about Python Data Types
??Basics about Python Built-in Modules
??Conditionals with Python - If Else Statement, Nested If Else
??Loops - For Loop, While Loop in Python, Break and Continue
??Immutablity of Python Basic Types
??Python Data Structures - List, Set, Dictionary and Tuples
??Introduction to Variable Arguments
??Basics of Designing a Class - Class, Object, State and Behavior. Deciding State and Constructors.
??Introduction to Exception Handling - Your Thought Process during Exception Handling. try, except, else and finally. Exception Hierarchy. Throwing an Exception. Creating and Throwing a Custom Exception.
All the code and supporting files for this course are available at: https://github.com/PacktPublishing/Python-Programming-for-Beginners---Learn-in-100-Easy-Steps
</p>
        <h2>What You Will Learn</h2><p>You will learn Python the modern way - Step By Step - with 200 hands-on Code Examples<br>You will understand the best practices in writing high-quality Pythonic Code<br>You will solve a Wide Range of Hands-on Programming exercises with Python<br>You will learn to Write awesome Object-Oriented Programs with Python<br>You will acquire all the Python Skills needed to transition into Analytics, Machine Learning and Data Science Roles<br>You will Acquire all the SKILLS to demonstrate an EXPERTISE with Python Programming in Your Job Interviews<br>You will learn about a wide variety of Python Data Structures - List, Set, Dictionary and Tuples<br>You will learn the basics of PyCharm IDE and Python Shell<br>You will learn how to think as a Python Programmer<br>You will learn the basics of programming - variables, choosing a data type, conditional execution, loops, writing great methods, breaking down problems into subproblems and implementing exception handling.<br>You will learn the basics of Object Oriented Programming - Inheritance, Abstract Class and Constructors<br>You will learn the important concepts of Object Oriented Programming - Abstraction and Inheritance</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn Programming with Python. You want to automate things with Python.</p>
        <h2>Approach</h2><p>We take a hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 150 Python Coding Exercises, Puzzles and Code Examples.</p>
        <h2>Key Features</h2><p>The course is amazing, the instructor has good knowledge in the field  * This course can be viewed with zero Python Programming Experience</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming-for-beginners---learn-in-100-easy-steps</p>
        <h2>About the Author</h2><h3>In28Minutes Official</h3><p>	Ranga Karanam is a seasoned technologist and architect with over two decades of expertise in programming, design, and architecture. He founded in28Minutes with the goal of helping students master cutting-edge cloud-native technologies such as AWS, Azure, Google Cloud, Docker, and Kubernetes. With 15 years of experience in Java programming and design, Ranga has collaborated with top banking clients worldwide.

His passion for creating hands-on courses with real-world projects motivated him to develop the Step-By-Step series of courses that follow a problem-solution-based approach, with practical and real-world application examples.

Ranga and his team at in28Minutes specialize in Java and related frameworks such as Spring, Spring Boot, Spring MVC, Struts, and Hibernate. They are committed to equipping learners with the skills and knowledge necessary to succeed in today's rapidly evolving technology landscape.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Introduction to Python Programming With Multiplication Table</h4><p></p><br><h4>3. Introduction to Methods - Multiplication Table</h4><p></p><br><h4>4. Introduction to Python Platform</h4><p></p><br><h4>5. Introduction to PyCharm</h4><p></p><br><h4>6. Basic Numeric Data Types and Conditional Execution</h4><p></p><br><h4>7. Text in Python</h4><p></p><br><h4>8. Python Loops</h4><p></p><br><h4>9. Python Tips for Beginners</h4><p></p><br><h4>10. Introduction to Object Oriented Programming</h4><p></p><br><h4>11. Python Data Structures</h4><p></p><br><h4>12. Object Oriented Programming Again</h4><p></p><br><h4>13. Error Handling with Python</h4><p></p><br><h4>14. A Few More Python Tips</h4><p></p><br><h4>15. Thank You and Congratulations</h4><p></p>

Learn Python Programming using a Step By Step Approach with 200+ code examples.
Python is one of the most popular programming languages. Python offers both object-oriented and structural programming features. We love Programming. Our aim with this course is to create a love for Programming. In more than 150 Steps, we explore the most important Python Programming Language Features
??Basics of Python Programming - Expressions, Variables, and Printing Output
??Python Operators - Python Assignment Operator, Relational and Logical Operators, Short Circuit Operators
??Python Conditionals and If Statement
??Methods - Parameters, Arguments and Return Values
??An Overview Of Python Platform
??Object-Oriented Programming - Class, Object, State and Behavior
??Basics of OOPS - Encapsulation, Inheritance and Abstract Class.
??Basics about Python Data Types
??Basics about Python Built-in Modules
??Conditionals with Python - If Else Statement, Nested If Else
??Loops - For Loop, While Loop in Python, Break and Continue
??Immutablity of Python Basic Types
??Python Data Structures - List, Set, Dictionary and Tuples
??Introduction to Variable Arguments
??Basics of Designing a Class - Class, Object, State and Behavior. Deciding State and Constructors.
??Introduction to Exception Handling - Your Thought Process during Exception Handling. try, except, else and finally. Exception Hierarchy. Throwing an Exception. Creating and Throwing a Custom Exception.
All the code and supporting files for this course are available at: https://github.com/PacktPublishing/Python-Programming-for-Beginners---Learn-in-100-Easy-Steps

What You Will Learn
You will learn Python the modern way - Step By Step - with 200 hands-on Code Examples
You will understand the best practices in writing high-quality Pythonic Code
You will solve a Wide Range of Hands-on Programming exercises with Python
You will learn to Write awesome Object-Oriented Programs with Python
You will acquire all the Python Skills needed to transition into Analytics, Machine Learning and Data Science Roles
You will Acquire all the SKILLS to demonstrate an EXPERTISE with Python Programming in Your Job Interviews
You will learn about a wide variety of Python Data Structures - List, Set, Dictionary and Tuples
You will learn the basics of PyCharm IDE and Python Shell
You will learn how to think as a Python Programmer
You will learn the basics of programming - variables, choosing a data type, conditional execution, loops, writing great methods, breaking down problems into subproblems and implementing exception handling.
You will learn the basics of Object Oriented Programming - Inheritance, Abstract Class and Constructors
You will learn the important concepts of Object Oriented Programming - Abstraction and Inheritance
Audience
This course is for anyone who wants to learn Programming with Python. You want to automate things with Python.
Approach
We take a hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 150 Python Coding Exercises, Puzzles and Code Examples.
Key Features
The course is amazing, the instructor has good knowledge in the field * This course can be viewed with zero Python Programming Experience
Github Repo
https://github.com/packtpublishing/python-programming-for-beginners---learn-in-100-easy-steps
About the Author
In28Minutes Official
	Ranga Karanam is a seasoned technologist and architect with over two decades of expertise in programming, design, and architecture. He founded in28Minutes with the goal of helping students master cutting-edge cloud-native technologies such as AWS, Azure, Google Cloud, Docker, and Kubernetes. With 15 years of experience in Java programming and design, Ranga has collaborated with top banking clients worldwide. His passion for creating hands-on courses with real-world projects motivated him to develop the Step-By-Step series of courses that follow a problem-solution-based approach, with practical and real-world application examples. Ranga and his team at in28Minutes specialize in Java and related frameworks such as Spring, Spring Boot, Spring MVC, Struts, and Hibernate. They are committed to equipping learners with the skills and knowledge necessary to succeed in today's rapidly evolving technology landscape.
Course Outline
1. Introduction

2. Introduction to Python Programming With Multiplication Table

3. Introduction to Methods - Multiplication Table

4. Introduction to Python Platform

5. Introduction to PyCharm

6. Basic Numeric Data Types and Conditional Execution

7. Text in Python

8. Python Loops

9. Python Tips for Beginners

10. Introduction to Object Oriented Programming

11. Python Data Structures

12. Object Oriented Programming Again

13. Error Handling with Python

14. A Few More Python Tips

15. Thank You and Congratulations


Learn Python Programming using a Step By Step Approach with 200+ code examples.

Python Programming for Beginners - Learn in 100 Easy Steps

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					<div><p>The innovative <strong>Python Programming Beginner to Expert Course</strong> has been compiled with the assistance and expertise of industry professionals. It has been carefully crafted to meet the business requirements needed for an outstanding contribution to this role and the career path beyond it. By enrolling in this tutorial, a significant advantage can be gained by the student for securing their dream job and building an excellent reputation in this sector. </p></div>
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					<div><p>This popular <strong>Python Programming Beginner to Expert Course</strong> has been designed to help dedicated individuals train to become the absolute best in this business field. Many other entrepreneurs and talented students have already completed this course, and others like it, empowering them to move onto satisfying and rewarding careers. This unique <strong>Python Programming Beginner to Expert Course</strong> course is perfectly suited for those dedicated and ambitious individuals who are committed to genuinely becoming the best in the business. </p><p>The <strong>Python Programming Beginner to Expert Course</strong> is recognised and accredited by CPD standards, so all contents are guaranteed to be accurate and reputable, adding valuable competencies and qualifications to a CV, making anyone stand out from other potential candidates or business rivals. For added convenience, the <strong>Python Programming Beginner to Expert Course</strong> consists of a range of educational modules that allow study sessions to be organised at any time and any place</p><p>When the final assessment of the <strong>Python Programming Beginner to Expert Course </strong>has been completed, a certificate of completion is supplied to evidence newly acquired skills and knowledge. This will provide a significant boost for job-seeking or entry into a new and exciting career path. The valuable qualification from the<strong> Python Programming Beginner to Expert Course</strong> course can help to make all the difference in a dynamic employment sector and can also be validated on our website.</p><p>We are aware that a student's lifestyles and work ethics may not allow much time for a dedicated study session, so the <strong>Python Programming Beginner to Expert Course</strong> has been specifically designed to be taken at a personally selected pace, and the hours that are suited to each individual. Full access is immediately available after registration, and this can be achieved via any online device, and at any global location you are sighted at.  </p><p>Our fully-trained tutors are committed to helping you throughout the course, and will instantly respond to any queries that are sent to them via email.</p></div>
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The innovative Python Programming Beginner to Expert Course has been compiled with the assistance and expertise of industry professionals. It has been carefully crafted to meet the business requirements needed for an outstanding contribution to this role and the career path beyond it. By enrolling in this tutorial, a significant advantage can be gained by the student for securing their dream job and building an excellent reputation in this sector. 
This popular Python Programming Beginner to Expert Course has been designed to help dedicated individuals train to become the absolute best in this business field. Many other entrepreneurs and talented students have already completed this course, and others like it, empowering them to move onto satisfying and rewarding careers. This unique Python Programming Beginner to Expert Course course is perfectly suited for those dedicated and ambitious individuals who are committed to genuinely becoming the best in the business. 
The Python Programming Beginner to Expert Course is recognised and accredited by CPD standards, so all contents are guaranteed to be accurate and reputable, adding valuable competencies and qualifications to a CV, making anyone stand out from other potential candidates or business rivals. For added convenience, the Python Programming Beginner to Expert Course consists of a range of educational modules that allow study sessions to be organised at any time and any place
When the final assessment of the Python Programming Beginner to Expert Course has been completed, a certificate of completion is supplied to evidence newly acquired skills and knowledge. This will provide a significant boost for job-seeking or entry into a new and exciting career path. The valuable qualification from the Python Programming Beginner to Expert Course course can help to make all the difference in a dynamic employment sector and can also be validated on our website.
We are aware that a student's lifestyles and work ethics may not allow much time for a dedicated study session, so the Python Programming Beginner to Expert Course has been specifically designed to be taken at a personally selected pace, and the hours that are suited to each individual. Full access is immediately available after registration, and this can be achieved via any online device, and at any global location you are sighted at. 
Our fully-trained tutors are committed to helping you throughout the course, and will instantly respond to any queries that are sent to them via email.

Python Programming Beginner to Expert Course

<strong>This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.</strong>
        <p>With Python, you can build applications, such as Google, Instagram, Spotify, and Reddit. But to make such applications, you should have a strong knowledge of the fundamentals of Python. This course will be your step-by-step guide to master the fundamentals of Python programming.

The course starts by walking you through the process of setting up a Python development environment. Next, you will get an overview of the versions and history of Python programming and write a simple 'Hello World' program to understand the structure of Python code. Moving along, you will get a detailed understanding of Python variables, datatypes, built-in functions, conditional statements, and loops. Next, you will learn how to work with lists, tuples, sets, dictionaries, strings, functions, modules, and packages in Python. Later, you will learn to debug your Python program, work with files, and learn how to handle exceptions. Next, you will learn how to use numbers and date and time functions in Python programs and study the concepts of package management. Finally, you will learn to create, activate, and deactivate Python virtual environments and get an overview of comprehensions and decorators.

By the end of this course, you will have gained the knowledge and skills of all the basic concepts of Python programming and will be ready to take up advanced Python concepts.

The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-</p>
        <h2>What You Will Learn</h2><p>Explore Python datatypes variables and functions<br>Find out how to create and work with modules and packages<br>Read and write a CSV and binary file<br>Grasp techniques to handle exceptions<br>Find out how to debug Python programs<br>Create, activate, and deactivate Python virtual environments</p>
        <h2>Audience</h2><p>This course is designed for anyone who is interested in learning the basics of Python programming. There are no prerequisites to take this course as you will learn everything from scratch.</p>
        <h2>Approach</h2><p>Featuring labs, exercises, and interesting projects, this course takes you through the fundamental concepts of Python programming from scratch.</p>
        <h2>Key Features</h2><p>Gain a solid understanding of the fundamentals of Python 3 * Become comfortable in using Python datatypes, functions, packages, and modules * Apply your learning to write and run simple Python scripts from the Linux terminal</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-</p>
        <h2>About the Author</h2><h3>Coding Gears | Train Your Brain</h3><p>GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn.

They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas.

CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.</p>
        <h2>Course Outline</h2><h4>1. Welcome</h4><p></p><br><h4>2. Setting up the Python Development Environment</h4><p></p><br><h4>3. Python - Absolute Basics</h4><p></p><br><h4>4. Variables, Data Types, and Built-in Functions</h4><p></p><br><h4>5. Conditional Statements and Loops</h4><p></p><br><h4>6. Working with Lists</h4><p></p><br><h4>7. Working with Tuples</h4><p></p><br><h4>8. Working with Sets</h4><p></p><br><h4>9. Working with Dictionaries</h4><p></p><br><h4>10. Working with Strings</h4><p></p><br><h4>11. Functions</h4><p></p><br><h4>12. Modules and Packages</h4><p></p><br><h4>13. Debugging</h4><p></p><br><h4>14. Working with Files (Files Input/Output)</h4><p></p><br><h4>15. Handling Exceptions</h4><p></p><br><h4>16. Working with Numbers</h4><p></p><br><h4>17. Working with Dates and Times</h4><p></p><br><h4>18. Package Management</h4><p></p><br><h4>19. Python Virtual Environments</h4><p></p><br><h4>20. Comprehensions</h4><p></p><br><h4>21. Decorators</h4><p></p><br><h4>22. Generators</h4><p></p><br><h4>23. Miscellaneous and Additional Resources</h4><p></p>

This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.
With Python, you can build applications, such as Google, Instagram, Spotify, and Reddit. But to make such applications, you should have a strong knowledge of the fundamentals of Python. This course will be your step-by-step guide to master the fundamentals of Python programming. The course starts by walking you through the process of setting up a Python development environment. Next, you will get an overview of the versions and history of Python programming and write a simple 'Hello World' program to understand the structure of Python code. Moving along, you will get a detailed understanding of Python variables, datatypes, built-in functions, conditional statements, and loops. Next, you will learn how to work with lists, tuples, sets, dictionaries, strings, functions, modules, and packages in Python. Later, you will learn to debug your Python program, work with files, and learn how to handle exceptions. Next, you will learn how to use numbers and date and time functions in Python programs and study the concepts of package management. Finally, you will learn to create, activate, and deactivate Python virtual environments and get an overview of comprehensions and decorators. By the end of this course, you will have gained the knowledge and skills of all the basic concepts of Python programming and will be ready to take up advanced Python concepts. The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-
What You Will Learn
Explore Python datatypes variables and functions
Find out how to create and work with modules and packages
Read and write a CSV and binary file
Grasp techniques to handle exceptions
Find out how to debug Python programs
Create, activate, and deactivate Python virtual environments
Audience
This course is designed for anyone who is interested in learning the basics of Python programming. There are no prerequisites to take this course as you will learn everything from scratch.
Approach
Featuring labs, exercises, and interesting projects, this course takes you through the fundamental concepts of Python programming from scratch.
Key Features
Gain a solid understanding of the fundamentals of Python 3 * Become comfortable in using Python datatypes, functions, packages, and modules * Apply your learning to write and run simple Python scripts from the Linux terminal
Github Repo
https://github.com/PacktPublishing/Python-Programming-for-Beginners-Hands-on-Online-Lab-
About the Author
Coding Gears | Train Your Brain
GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn. They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas. CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.
Course Outline
1. Welcome

2. Setting up the Python Development Environment

3. Python - Absolute Basics

4. Variables, Data Types, and Built-in Functions

5. Conditional Statements and Loops

6. Working with Lists

7. Working with Tuples

8. Working with Sets

9. Working with Dictionaries

10. Working with Strings

11. Functions

12. Modules and Packages

13. Debugging

14. Working with Files (Files Input/Output)

15. Handling Exceptions

16. Working with Numbers

17. Working with Dates and Times

18. Package Management

19. Python Virtual Environments

20. Comprehensions

21. Decorators

22. Generators

23. Miscellaneous and Additional Resources


Linux

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This course will help you to learn the basic concepts of Python programming. From understanding variables to functions and debugging the programs to exception handling, you will master it all with the help of engaging exercises and projects.

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