🐍 Python Tutorial 2025

01

Introduction & Setup

Get started with installing Python, setting up your development environment, and writing your first program.

02

Python Basics & Syntax

Learn Python's syntax rules, variables, data types, and how to write simple programs.

03

Control Flow (if, for, while)

Master conditionals, loops, and flow control to make your programs dynamic and interactive.

04

Functions & Scope

Define reusable functions, understand variable scope, parameters, and return values.

05

Data Structures

Explore lists, tuples, dictionaries, sets, and how to manipulate them.

06

File Handling

Learn to read from and write to files, and manage file operations safely.

07

Error Handling

Catch and handle errors gracefully using try-except blocks.

08

Object-Oriented Programming

Learn classes, objects, inheritance, encapsulation, and polymorphism in Python.

09

Modules & Packages

Understand how to organize code using modules and packages, and explore Python’s standard library.

10

Advanced Topics

Explore list comprehensions, decorators, generators, and writing clean, pythonic code.

11

Python Standard Library Deep Dive

Explore popular built-in modules like datetime, collections, itertools, os, sys, and regex.

12

Working with Databases

Learn how to connect and query databases using SQLite and ORMs like SQLAlchemy.

13

Web Development with Flask/Django

Build your first web apps using popular Python web frameworks like Flask and Django.

14

Testing & Debugging

Write unit tests using unittest and pytest, and learn debugging techniques.

15

Concurrency & Async Programming

Explore threading, multiprocessing, and async programming with asyncio.

16

Data Science Foundations

Introduction to numpy, pandas, and basic data visualization libraries.

17

Python for Automation & Scripting

Automate file system tasks, web scraping, and other repetitive jobs.

18

Working with APIs

Consume and build REST APIs using requests and Flask/Django REST Framework.

19

Scraping

Learn how to scrape websites with python.

20

Deployment & Distribution

Learn how to create Python packages and publish them to PyPI.

21

Python and Machine Learning

Introduction to scikit-learn, TensorFlow, and Keras for machine learning.

22

Python and Ai

Introduction to AI and deep learning with PyTorch and Keras.

23

Security Best Practices

Understand secure coding practices, input validation, and secrets management.