Unlock the power of Python with my comprehensive course designed for beginners and aspiring developers! Dive into the world of programming with ease and confidence.

Course Highlights:

• Start from Scratch: Begin with the basics, including “What is a computer?”, “How does it work?”, and “What is a programming language?”.
• Hands-On Projects: Work on exciting projects like:
  1. CLI Quiz Game: Create a multiple-choice quiz game that reads questions from a file or database and keeps track of the score.
  2. Weather APP (CLI Version): Develop a Python program that fetches and displays the current weather of a location using a weather API (e.g., OpenWeatherMap).

Course Goals:

My ultimate goal is to transform you into a core Python expert, ready to tackle real-world challenges.

Topics Covered:

1. Introduction to Python
   • History of Python
   • Python installation and setup
   • Running Python scripts
   • Python IDEs and code editors
2. Basic Syntax
   • Python syntax and indentation
   • Variables and data types
   • Basic operators (arithmetic, comparison, logical, bitwise)
   • Comments in Python
3. Data Types
   • Numbers (integers, floats, complex)
   • Strings
   • Lists
   • Tuples
   • Sets
   • Dictionaries
4. Control Flow
   • Conditional statements (if, elif, else)
   • Loops (for, while)
   • Break, continue, and pass statements
5. Functions
   • Defining and calling functions
   • Function arguments (positional, keyword, default, variable-length)
   • Return values
   • Lambda functions
   • Scope of variables (local, global)
6. Modules and Packages
   • Importing modules
   • Standard library modules
   • Creating and using custom modules
   • Introduction to packages
7. File Handling
   • Reading and writing files
   • File modes (read, write, append)
   • Working with file objects
   • Handling file exceptions
8. Error and Exception Handling
   • Understanding exceptions
   • Try, except, finally blocks
   • Raising exceptions
   • Custom exceptions
9. Object-Oriented Programming (OOP)
   • Classes and objects
   • Constructor and destructor
   • Inheritance
   • Polymorphism
   • Encapsulation
   • Method overriding
10. Standard Library and Built-in Functions
    • Commonly used standard library modules (e.g., math, os, sys, datetime, random)
    • Built-in functions (e.g., len(), range(), type(), isinstance())
11. Comprehensions
    • List comprehensions
    • Dictionary comprehensions
    • Set comprehensions
    • Generator expressions
12. Decorators
    • Function decorators
    • Class decorators
13. Iterators and Generators
    • Iterators in Python
    • Creating custom iterators
    • Generators and yield keyword
14. Regular Expressions
    • Introduction to regular expressions
    • Using the re module
    • Common regular expression patterns
15. Context Managers
    • Understanding context managers
    • Using the with statement
    • Creating custom context managers

These topics form the foundation of Python programming and are essential for both beginners and experienced developers to understand and master.