Python Complete Beginner to Expert Course

Master Python programming language from basic to professional level.

Before we start let me tell you that:

• You can access the complete course easily using the following list.
• This article is also available as a YouTube video here.

Introduction

First, let me congrats you because you decided to learn Python, the programming language number one in the world.

I know that the first question that is in your mind is, why do I have to learn Python?

So let me answer you,

According to PYPL, the popularity of programming language index, Python is the most popular programming language, and it’s the fastest-growing language, based on search engine searches for various programming languages. Refer to Figure 1.

Also, according to the 2020 Stack Overflow Developer Survey, developers who are already working with other programming languages are most interested in learning Python in the future. Refer to Figure 2.

In addition to that, according to Indeed.com, one of the most famous employment websites, Python is at the top of several job openings charts with an average salary of 120k USD per year for a Python developer. Refer to Figure 3.

Above all that, Python is super easy to learn and very flexible to use.

Now the big question is, who is this course for?

This course assumes that you don’t have any previous knowledge, not only in Python but even in the programming itself.

So if you are:

• A college student who wants to better understand Python.
• An employee who wants to pursue a career in artificial intelligence, machine learning, data science, or back-end web development.
• A programmer who wants to shift from another programming language to Python programming language.
• A Python developer who wants to leverage up his skills in Python.

Therefore, this course has been perfectly designed for you and it has been packed with little-known tips, best practices to apply, and common mistakes to avoid.

In future articles, you will learn how to get Python installed and how to get PyCharm installed on your machine regardless of the operating system that you use.

After that, you will learn about:

• Basics of Python Syntax.
• Data structures.
• Flows control.

Next, you will start to learn about more advanced topics like:

• Error handling.
• Generators.
• Comprehensions.
• Date and Time.
• Project structure and the correct way to structure your project and Python.

So what are you waiting for? Join me in this course and start the exciting learning journey.

You can access the complete course easily using the following list.

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To move on to the next article, you can use the following link:

Part 1: Python Complete Course

The complete course list can be accessed here

Course Index (The article link will be active once it is published):

• Section1: Introduction to Programming

Part 1: Introduction to Programming

Part 2: Computer Algorithms

• Section2: Introduction to Python

Part 3: What Python Is

Part 4: Python Setup on Windows

Part 5: Python Setup on Linux

Part 6: Python Setup on MacOs

Part 7: Run the First Program in Python

• Section3: Basics of Python Syntax

Part 8: Python Identifiers

Part 9: Comments in Python

• Section4: Numbers in Python

Part 10: Introduction to Variables, Data Structures and Operators

Part 11: Python Numbers

Part 12: Arithmetic Operators

Part 13: Comparison Operators

Part 14: Logical Operators

Part 15: Bitwise Operators

Part 16: Assignment Operators

Part 17: Operators' Priorities

Part 18: math Module

Part 19: random Module

• Section5: Collections in Python

Part 20: Python Collections

Part 21: Python Strings

Part 22: Python Strings Functions

Part 23: String Formatting

Part 24: Python Lists

Part 25: Python Lists Functions

Part 26: Python Tuples

Part 27: Python Dictionaries

Part 28: Python Sets

Part 29: Casting in Python

Part 30: Copy in Python

Part 31: Lines in Python

• Section6: Conditional Statements in Python

Part 32: Program Execution Flow Control

Part 33: Python Conditional Statements

Part 34: The Ternary Operator

• Section7: Iteration and Loops in Python

Part 35: Loops in Python

Part 36: Iteration, Iterable, and Iterator in Python

Part 37: Loops Jump Statements

Part 38: Useful Functions with Loops

Part 39: Overall First Part Challenges

• Section8: Functions in Python

Part 40: Introduction to Functions

Part 41: Arbitrary Arguments and Keyword Arguments

Part 42: lambda Functions

Part 43: Decorators in Python

• Section9: Comprehensions in Python

Part 44: Comprehensions in Python

• Section10: Generators in Python

Part 45: Generators in Python

• Section11: Exceptions in Python

Part 46: Exceptions Handling in Python

• Section12: Files and Folders in Python

Part 47: Introduction to Files and Folders

Part 48: os Module

Part 49: os.path Module

Part 50: CRUD Files

Part 51: with Keyword with Files

• Section13: pickle Module

Part 52: pickle Module

• Sectioon14: Date and Time in Python

Part 53: Introduction to Date and Time

Part 54: datetime Module

• Section15: Modules and Packages in Python

Part 55: Introduction to Project Structure in Python

Part 56: Working With Modules and Packages in Python

Part 57: Namespaces and Scopes in Python

• Section16: Course Conclusion

Part 58: Course Conclusion