📄️ Introduction
Introduction to Python: interpreted programming language, simple syntax, popular in DevOps, automation, data science, and web development with libraries like Django, Flask, Pandas, and NumPy.
📄️ Getting Started
First steps with Python: using the interpreter, basic commands, print function, script execution, and fundamental concepts for beginners.
📄️ Variables
Learn about primitive variables in Python: basic data types like int, float, string, boolean, value assignment, and differences between data types.
📄️ Collections
Data structures in Python: lists, tuples, dictionaries, sets, their characteristics, methods, and when to use each type of collection.
📄️ Arithmetic Operators
Mathematical operations in Python: addition, subtraction, multiplication, division, exponentiation, modulo, and floor division with practical examples.
📄️ Logical Operators
Comparison and logical operators in Python: equality, difference, greater/less than, and, or, not and how to create true or false conditions.
📄️ Modules
Python module system: how to import libraries, use import, from, create your own modules, packages, and organize Python code in a modular way.
📄️ Extra Modules
Important Python modules: OS for operating system, sys for system, datetime for dates, json for data, requests for HTTP, and other useful modules.
📄️ Control Structures
Control flow structures in Python: if/else, elif, for and while loops, break, continue, and how to control program execution flow.