All you need to learn about PYTHON

1. Basics

   1. Variables and Data Types
   2. Operators (+, -, *, /, %, etc.)
   3. Basic Input/Output (print(), input())

2. Control Flow

   1. If Statements
   2. If-else Statements
   3. Nested If Statements
   4. Loops
      1. While Loop (with break and continue)
      2. For Loop (with range(), and Iterable looping)
      3. Nested Loops

3. Functions

   1. Defining Functions
   2. Function Parameters and Arguments
   3. Return Statements
   4. Scope and Lifetime of Variables

4. Data Structures

   1. Lists (indexing, slicing, methods)
   2. Tuples (immutable sequences)
   3. Dictionaries (key-value pairs)
   4. Sets (unique elements)
   5. List Comprehensions

5. Strings

   1. String Manipulation
   2. String Methods (split(), join(), etc.)
   3. String Formatting (f-strings, format())
   4. Escape Sequences

6. File Handling

   1. Opening and Reading Files
   2. Writing to Files
   3. Closing Files (with context managers)

7. Exception Handling

   1. try, except, else, and finally blocks
   2. Handling Specific Exceptions
   3. Creating Custom Exceptions

8. Object-Oriented Programming (OOP)

   1. Classes and Objects
   2. Constructors and Destructors
   3. Inheritance
   4. Polymorphism
   5. Encapsulation

9. Modules and Packages

   1. Importing Modules
   2. Creating and Using Packages
   3. Aliasing and Renaming Modules

10. Regular Expressions

    1. Pattern Matching
    2. re Module Functions

11. Advanced Data Structures

    1. Stacks and Queues
    2. Linked Lists
    3. Trees (Binary Trees, Binary Search Trees)
    4. Graphs

12. Generators and Iterators

    1. Yield Statements
    2. Iteration Protocols
    3. Generator Expressions

13. Decorators

    1. Function Decorators
    2. Class Decorators

14. Concurrency and Multithreading

    1. Threading and Multiprocessing
    2. Synchronization (Locks, Semaphores)

15. Databases and SQL

    1. Connecting to Databases
    2. Executing SQL Queries

16. APIs and Web Services

    1. Making HTTP Requests (requests library)
    2. Handling JSON/XML Responses

17. Web Development

    1. Basics of Web Frameworks (Flask, Django)
    2. Routing and Views
    3. Templates and Forms

18. GUI Programming

    1. Introduction to GUI Libraries (Tkinter, PyQt)
    2. Creating Windows and Widgets

19. Data Science Libraries

    1. NumPy (Arrays and Numerical Operations)
    2. pandas (DataFrames and Data Manipulation)
    3. Matplotlib (Data Visualization)

20. Machine Learning

    1. Introduction to scikit-learn
    2. Training and Evaluating Models

21. Virtual Environments

    1. Creating and Activating Virtual Environments
    2. Managing Dependencies with pip

22. Testing

    1. Unit Testing with unittest Module
    2. Writing Test Cases

23. Version Control

    1. Basics of Git
    2. Cloning Repositories
    3. Committing and Pushing Changes

24. Documentation

    1. Writing Docstrings
    2. Generating Documentation

25. Best Practices

    1. PEP 8 Coding Conventions
    2. Code Readability and Maintainability