Python Ultimate Guide

1. Fundamentals

   • Introduction to Python
   • Basic syntax
   • Indentation and code structure

2. Data Types

   • Numeric types (int, float)
   • Strings
   • Lists
   • Tuples
   • Sets
   • Dictionaries

3. Operators

   • Arithmetic operators
   • Comparison operators
   • Logical operators
   • Bitwise operators

4. Conditionals

   • If statements
   • Else and elif statements
   • Ternary operator

5. Loops

   • For loop
   • While loop
   • Break and continue statements

6. Functions

   • Function definition and invocation
   • Parameters and return values
   • Scope and lifetime of variables

7. Classes and Objects

   • Class definition
   • Object instantiation
   • Inheritance and polymorphism
   • Encapsulation and abstraction

8. Error Handling

   • Try, except, else, and finally blocks
   • Custom exceptions

9. Importing Libraries

   • Standard library modules
   • Third-party libraries

10. File I/O

    • Reading from and writing to files
    • Working with different file formats (txt, csv, json)

11. List Comprehensions

    • Creating concise lists
    • Conditional expressions in comprehensions

12. Lambda Functions

    • Anonymous functions
    • Use cases and syntax

13. Iterators and Generators

    • Iterable objects
    • Creating and using generators

14. Context Managers

    • The with statement
    • Creating custom context managers

15. Built-in Functions

    Overview of important built-in functions

16. String Methods

    • Common string operations
    • String formatting

17. List Methods

    • Manipulating lists
    • List comprehensions revisited

18. Dictionary Methods

    Working with dictionaries

19. Set Methods

    Set operations and methods

20. Regular Expressions

    Pattern matching in strings

21. Package Management (pip)

    Installing and managing Python packages

22. Date and Time

    Working with date and time objects

23. JSON

    Serializing and deserializing JSON data

24. Threading

    Multithreading in Python

25. Multiprocessing

    Parallel processing with multiprocessing

26. Working with Databases (sqlite3)

    Connecting to and querying databases

27. Web Scraping (BeautifulSoup)

    Extracting data from web pages

28. Decorators

    Function decorators and use cases

29. Modules and Packages

    Organizing code into modules and packages

30. Virtual Environments

    Isolating project dependencies

31. Command Line Arguments (argparse)

    Parsing command-line arguments

32. Logging

    Recording log messages

33. Environment Variables

    Accessing and utilizing environment variables

34. Type Hints

    Adding type hints to functions and variables

35. Web Requests (Requests)

    Making HTTP requests

36. Web Development (Flask)

    Building web applications with Flask

37. Data Science Libraries

    Overview of popular data science libraries in Python

38. HTTP Requests with Requests Library (api_requests)

    Interacting with RESTful APIs using Python's requests library.

39. Flask CRUD Operations (api_flasks)

    Managing posts with CRUD operations in a Flask application, demonstrating HTTP methods for RESTful APIs.

40. CAPTCHA Verification (captcha_verification)

    Generating and verifying CAPTCHA in a Python script, demonstrating user input verification.

41. Networking Example - Client and Server

    

    To use the networking example, run the server.py file first to start the server, then run the client.py file to connect to the server and exchange messages.