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Python Programming: Beginner To Expert
By iStudy UK
- 30 Day Money Back Guarantee
- Completion Certificate
- 24/7 Technical Support
Highlights
On-Demand course
15 hours 8 minutes
All levels
Description
Python Programming: Beginner To Expert Overview
Unfold the potential within you, and embark on a journey of mastering Python programming - from the fundamental building blocks to the pinnacle of expertise. This comprehensive course, crafted with meticulous care, empowers you to transform from a curious novice to a confident coding maestro, wielding Python's power with finesse.
Within these engaging modules, you'll delve into the core principles of Python, meticulously exploring data types, operators, control flow, and functions. As your proficiency blossoms, you'll conquer advanced topics like object-oriented programming, powerful libraries like NumPy and Pandas, and the art of crafting polished scripts.
But this journey isn't merely about acquiring technical prowess; it's about unlocking a world of possibilities. By the course's end, you'll be equipped to embark on a rewarding career path, armed with the skills to tackle real-world challenges in diverse domains - from data analysis and web development to scientific computing and automation.
Learning Outcomes
Gain a solid foundation in Python syntax, data structures, and control flow mechanisms.
Master essential functions, user input, and error-handling techniques.
Explore advanced data types, object-oriented programming concepts, and popular libraries like NumPy and Pandas.
Craft polished, reusable Python scripts for various applications.
Confidently navigate the Python ecosystem and continuously expand your knowledge.
Why You Should Choose Python Programming: Beginner To Expert
Lifetime access to the course
No hidden fees or exam charges
CPD Accredited certification on successful completion
Full Tutor support on weekdays (Monday - Friday)
Efficient exam system, assessment and instant results
Download Printable PDF certificate immediately after completion
Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.
Improve your chance of gaining professional skills and better earning potential.
Who is this Course for?
Python Programming: Beginner To Expert is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills.
As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.
Requirements
Our Python Programming: Beginner To Expert is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.
Career Path
You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume.
Python Programming: Beginner To Expert | |||
Module 01: Introduction to Python Programming from A-Z | |||
Intro To Python Section Overview | 00:06:00 | ||
What is Python Programming? | 00:10:00 | ||
Who is This Course For? | 00:05:00 | ||
Python Programming Marketplace | 00:06:00 | ||
Python Job Opportunities | 00:05:00 | ||
How To Land a Python Job Without a Degree | 00:08:00 | ||
Python Programmer Job Roles | 00:09:00 | ||
Python from A-Z Course Structure | 00:04:00 | ||
Module 02: Getting Familiar with Python | |||
Getting Familiar with Python Section Overview | 00:06:00 | ||
Installing Python on Windows | 00:10:00 | ||
Anaconda and Jupyter Notebooks Part 1 | 00:08:00 | ||
Anaconda and Jupyter Notebooks Part 2 | 00:16:00 | ||
Comments | 00:05:00 | ||
Python Syntax | 00:02:00 | ||
Line Structure | 00:03:00 | ||
Line Structure Exercise | 00:07:00 | ||
Joining Lines | 00:05:00 | ||
Multiple Statements on a Single Line | 00:05:00 | ||
Indentation | 00:08:00 | ||
Module 03: Basic Data Types | |||
Basic Data Types Section Overview | 00:08:00 | ||
String Overview | 00:10:00 | ||
String Manipulation | 00:07:00 | ||
String Indexing | 00:04:00 | ||
String Slicing | 00:08:00 | ||
Printing | 00:10:00 | ||
Python Variables | 00:08:00 | ||
Integers and Floats | 00:08:00 | ||
Booleans | 00:02:00 | ||
Mini Project 1 : Letter Counter | 00:20:00 | ||
Module 04: Python Operators | |||
Python Operators Section Overview | 00:04:00 | ||
Comparison Operators | 00:09:00 | ||
Arithmetic Operators | 00:08:00 | ||
Assignment Operators | 00:05:00 | ||
Logical Operators | 00:13:00 | ||
Identity Operators | 00:05:00 | ||
Membership Operators | 00:02:00 | ||
Bitwise Operators | 00:08:00 | ||
Module 05: Advanced Data Types | |||
Python Advanced Data Types Section Overview | 00:11:00 | ||
Sets | 00:06:00 | ||
List Overview | 00:05:00 | ||
List Slicing and Indexing | 00:04:00 | ||
Tuples | 00:02:00 | ||
Dictionaries | 00:11:00 | ||
When to use each one? | 00:05:00 | ||
Compound Data Types | 00:03:00 | ||
Module 06: Control Flow Part 1 | |||
Control Flow Part 1 Section Overview | 00:15:00 | ||
Intro to Control Flow | 00:01:00 | ||
Basic Conditional Statements | 00:14:00 | ||
More Conditional Statements | 00:05:00 | ||
For Loops | 00:10:00 | ||
While Loops | 00:12:00 | ||
Module 07: Control Flow Part 2 | |||
Control Flow Part 2 Section Overview | 00:02:00 | ||
Break Statements | 00:08:00 | ||
Continue Statements | 00:05:00 | ||
Zip Function | 00:07:00 | ||
Enumerate Function | 00:04:00 | ||
List Comprehension | 00:04:00 | ||
Module 08: Python Functions | |||
Python Functions Section Overview | 00:03:00 | ||
Intro to Functions | 00:02:00 | ||
Python help Function | 00:03:00 | ||
Defining Functions | 00:09:00 | ||
Variable Scope | 00:08:00 | ||
Doc Strings | 00:04:00 | ||
Module 09: User Input and Error Handling | |||
User Input and Error Handling Section Overview | 00:02:00 | ||
Introduction to error handling | 00:03:00 | ||
User Input | 00:04:00 | ||
Syntax Errors | 00:04:00 | ||
Exceptions | 00:11:00 | ||
Handling Exceptions Part 1 | 00:08:00 | ||
Handling Exceptions Part 2 | 00:08:00 | ||
Module 10: Python Advanced Functions | |||
Python Advanced Functions Section Overview | 00:05:00 | ||
Lambda Functions | 00:05:00 | ||
Functions args and kwargs | 00:10:00 | ||
Iterators | 00:08:00 | ||
Generators and Yield | 00:12:00 | ||
Map Function | 00:14:00 | ||
Filter Function | 00:08:00 | ||
Module 11: Python Scripting and Libraries | |||
Python Scripting and Libraries Section Overview | 00:05:00 | ||
What is a script? | 00:01:00 | ||
What is an IDE? | 00:17:00 | ||
What is a text editor? | 00:12:00 | ||
From Jupyter Notebook to VScode Part 1 | 00:15:00 | ||
From Jupyter Notebook to VScode Part 2 | 00:05:00 | ||
Importing Scripts | 00:03:00 | ||
Standard Libraries | 00:04:00 | ||
Third Party Libraries | 00:06:00 | ||
Module 12: NumPy | |||
NumPy Section Overview | 00:04:00 | ||
Why use NumPy? | 00:04:00 | ||
NumPy Arrays | 00:10:00 | ||
Reshaping, Accessing, and Modifying | 00:07:00 | ||
Slicing and Copying | 00:06:00 | ||
Inserting, Appending, and Deleting | 00:10:00 | ||
Array Logical Indexing | 00:04:00 | ||
Broadcasting | 00:08:00 | ||
Module 13: Pandas | |||
Intro to Pandas | 00:17:00 | ||
Pandas Series | 00:17:00 | ||
Pandas Series Manipulation | 00:17:00 | ||
Pandas DataFrame | 00:17:00 | ||
Pandas DataFrame Manipulation | 00:13:00 | ||
Dealing with Missing Values | 00:10:00 | ||
Module 14: Introduction to OOP | |||
Functional vs OOP | 00:06:00 | ||
OOP Key Definitions | 00:04:00 | ||
Create your First Class | 00:12:00 | ||
How to Create and Use Objects | 00:06:00 | ||
How to Modify Attributes | 00:12:00 | ||
Module 15: Advanced OOP | |||
Python Decorators | 00:27:00 | ||
Property Decorator | 00:09:00 | ||
Class Method Decorator | 00:07:00 | ||
Static Methods | 00:10:00 | ||
Inheritance from A to Z | 00:21:00 | ||
Module 16: Starting a Career in Python | |||
Getting Started with Freelancing | 00:09:00 | ||
Building A Brand | 00:12:00 | ||
Personal Branding | 00:13:00 | ||
Importance of Having Website/Blog | 00:04:00 | ||
Do's and Don'ts of Networking | 00:06:00 | ||
Creating A Python Developer Resume | 00:06:00 |
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