Onaylı Üye
1/ Introduction to Python 
What's Python? Why pick Python? Setting up your Python environment.
2/ Dive into Basics
Python's syntax Getting to know variables & data types Playing with operators (arithmetic, comparison, logical).
3/ Control Structures Unleashed
Mastering conditionals (if, elif, else) 
Loops (for, while) 
Loop control (break, continue, pass).
4/ Functions: Python's Building Blocks
Creating & invoking functions Understanding arguments & returns Scope, lifetime & the magic of lambdas.
5/ Structuring Data
Lists 
Tuples 
Sets 
Dictionaries
6/ OOP: The Heart of Python
Classes & objects 
Inheritance Polymorphism & Encapsulation
7/ Modules & Packages Galore
Using modules 
Python's vast standard library Crafting & utilizing packages.
8/ Navigating Exceptions
The art of try, except How to raise exceptions Designing custom exceptions.
9/ File Handling in Python
Reading & writing files Deciphering file modes
10/ Libraries: Python's Power Tools
numpy: crunch numbers 
pandas: data wizardry 
matplotlib: paint data 
requests: talk HTTP
11/ Wrapping Up with a Project 🛠 Build with what you've learned Summary & onward journey resources.
What's Python? Why pick Python? Setting up your Python environment.2/ Dive into Basics
Python's syntax Getting to know variables & data types Playing with operators (arithmetic, comparison, logical).3/ Control Structures Unleashed
Mastering conditionals (if, elif, else) Loops (for, while) Loop control (break, continue, pass).4/ Functions: Python's Building Blocks
Creating & invoking functions Understanding arguments & returns Scope, lifetime & the magic of lambdas.5/ Structuring Data
Lists Tuples Sets Dictionaries6/ OOP: The Heart of Python
Classes & objects Inheritance Polymorphism & Encapsulation7/ Modules & Packages Galore
Using modules Python's vast standard library Crafting & utilizing packages.8/ Navigating Exceptions
The art of try, except How to raise exceptions Designing custom exceptions.9/ File Handling in Python
Reading & writing files Deciphering file modes10/ Libraries: Python's Power Tools
numpy: crunch numbers pandas: data wizardry matplotlib: paint data requests: talk HTTP11/ Wrapping Up with a Project 🛠 Build with what you've learned
Summary & onward journey resources.
