Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects
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Overview From automation to complex data analysis, Python is used in a wide range of tasks. Thus, to become a high-demand professional in the IT industry, you must build a solid foundation in this programming language. Our Python for Beginners is the perfect place to start enhancing your knowledge and skills in this area. Through the comprehensive course, you will get a primary understanding of Python. The informative modules will help you understand the data types and data structure. You will receive detailed lessons on control flow and operators. After that, the modules will equate you to the basics of Python arrays, iterators and generators. Finally, you will get a clear understanding of the functions and file manipulation. After the completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. Course Preview Learning Outcomes Introduce yourself to the basics of Python Familiarise yourself with the data types and operators Enhance your understanding of data structures and control flow Explore the vital areas of Python arrays, iterators and generators Develop a clear understanding of functions and file manipulation Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos, materials from the industry-leading experts Opportunity to study in a user-friendly, advanced online learning platform Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email. What Skills Will You Learn from This Course? Python Who Should Take This Python for Beginners Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Python for Beginners is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Pathâ This exclusive Python for Beginners will equip you with effective skills and abilities and help you explore career paths such as Web Developer Data Analyst Software Developer Game Developer Course Introduction Python for Beginners Introduction 00:01:00 Module 01: Getting Started with Python Why Learn Coding 00:05:00 Why Learn Python 00:04:00 Gearing Up Linux Machine For Python Programming 00:15:00 Gearing Up Windows For Python 00:13:00 Integrate Python And Git Bash With Vscode 00:03:00 Gearing Up The Macos For Python Programming 00:06:00 Installing Jupyter Notebook In Windows 00:06:00 Hello World In Jupyter Notebook 00:11:00 Module 02: Data Types and Operators Arithmetic Operators 00:14:00 Order Of Evaluation 00:09:00 Variable And Assignment Operators 00:12:00 Correct Variable Names 00:08:00 Integer Float And Complex Numbers In Python 00:11:00 Boolean Comparison Operator And Logical Operator 00:20:00 Strings In Python 00:07:00 Type And Type Casting 00:10:00 String Methods In Python 00:09:00 Taking Input From User 00:05:00 Exercise 1 00:09:00 Module 03: Data Structures Lists In Python 00:16:00 Necessitites In List 00:14:00 List Methods 00:19:00 Tuples In Python 00:14:00 Sets In Python 00:14:00 Dictionary, Mutable, Accessing Items 00:08:00 Dublicates, Constructor And Data Types In Dictionary 00:06:00 Access And Add Items In Dictionaries 00:06:00 Nested Dictionaries And Dictionary Methods 00:10:00 Exercise 2 00:12:00 Module 04: Control Flow Introduction 00:01:00 Conditional Statements 00:10:00 Short Hand If Else 00:10:00 Nested If 00:05:00 For Loops 00:13:00 While Loops In Python 00:07:00 While Vs For Loop 00:07:00 Break Continue Statment 00:07:00 Try And Except 00:07:00 Exercise 3 00:07:00 Module 05: Functions Intro To Functions 00:05:00 Arguments, Parameters And Multiple Arguments 00:09:00 Arbitrary Arguments, Keyword Arguments, Arbitrary Keyword Arguments 00:10:00 Default Parameter Value And Passing A List As Parameters 00:09:00 Return Values And Pass Statements 00:06:00 Exercise 4 00:09:00 Module 06: Python Arrays, Iterators and Generators Array, Length Of Array, Accessing Elements Of Array 00:10:00 Adding, Removing Elements In Array, Array Methods 00:12:00 Iterator In Python 00:14:00 Generators In Python 00:07:00 Exercise 5 00:07:00 Module 07: File Manipulation File Hancdling And Syntax 00:05:00 Reading The File, Line Extraction And Parsing 00:11:00 Appending And Writing The Files In Python 00:06:00 Create And Delete A File 00:05:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
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