I am very bored right now and my girlfriend also left me a few days ago. So, I have decided to give my grand course on Python on Dev.to for absolutely free. The course usually costs 32 USD on Udemy, but, this is a short version of the same coruse

Introduction

1. Welcome to the Course

   • Brief introduction about the course and its objectives.
   • Highlight the importance of Python in the world of programming.

2. About Python

   • Overview of Python's history and evolution.
   • Discuss its popularity, community support, and diverse applications.

3. Why Learn Python?

   • Explore the versatility and wide range of applications.
   • Career opportunities and demand for Python developers.

Module 1: Getting Started with Python

1. Setting Up Your Environment

   • Installing Python using Anaconda or directly from Python's official website.
   • Introduction to popular IDEs like VSCode, PyCharm, and Jupyter notebooks.

2. Your First Python Program

   • Writing a simple "Hello, World!" program.
   • Understanding Python syntax and indentation.

3. Data Types and Variables

   • Exploring fundamental data types: int, float, str, bool.
   • Variable declaration and assignment.

4. Operators in Python

   • Arithmetic, Comparison, Logical, and Bitwise operators.
   • Operator precedence and associativity.

Module 2: Control Flow and Functions

1. Control Flow Statements

   • if, elif, else statements.
   • for and while loops.
   • Using break and continue statements.

2. Functions in Python

   • Defining functions and parameters.
   • Return statements and function scope.
   • Lambda functions and higher-order functions.

3. Exception Handling

   • try, except, else, and finally blocks.
   • Handling different types of exceptions.

Module 3: Data Structures

1. Lists and Tuples

   • Creating and manipulating lists and tuples.
   • List comprehensions.

2. Dictionaries and Sets

   • Understanding dictionaries and sets.
   • Common operations and use cases.

3. Strings in Python

   • String manipulation and formatting.
   • Regular expressions in Python.

Module 4: Object-Oriented Programming (OOP)

1. Introduction to OOP

   • Key concepts: classes and objects.
   • Encapsulation, inheritance, and polymorphism.

2. Working with Classes and Objects

   • Creating classes and objects in Python.
   • Constructors and destructors.

3. Inheritance and Polymorphism

   • Extending classes and overriding methods.
   • Implementing polymorphism.

Module 5: Advanced Topics

1. File Handling

   • Reading and writing files in Python.
   • Working with different file formats.

2. Modules and Packages

   • Creating and using modules.
   • Organizing code into packages.

3. Introduction to Libraries

   • Exploring popular Python libraries like NumPy, Pandas, and Matplotlib.
   • Integration with external APIs.

4. Web Development with Flask

   • Basics of web development using Flask.
   • Building a simple web application.

Conclusion

1. Review and Next Steps

   • Recap of key concepts learned.
   • Suggestions for further learning and projects.

2. Congratulations!

   • Acknowledgments, certifications, and completion.

I know the course structure looks pretty normal and not like any grand course, but, I am sure, I'll add more content in the future more than this