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Python Tutorials

Phase 1 – Python Basics (Beginner)

  1. What Is Python? Install Python, VS Code & Run Your First Program

  2. Python Variables & Data Types Explained in 10 Minutes

  3. User Input in Python: input() and Type Conversion Made Easy

  4. Python Operators: Arithmetic, Comparison & Logical (Full Guide)

  5. If, Elif, Else in Python: Writing Your First Decisions

  6. Python Loops: for, while, range() with Real Examples

  7. Lists, Tuples, Sets & Dictionaries: Python Collections Overview

Phase 2 – Core Python Foundations

  1. Master Python Lists: Indexing, Slicing & List Methods

  2. List Comprehensions in Python: Write Cleaner & Faster Code

  3. Tuples & Sets in Python: When and Why to Use Them

  4. Python Dictionaries: Key–Value Pairs for Real-World Data

  5. Functions in Python: Parameters, Return Values & Scope

  6. Lambda Functions, map, filter, zip, enumerate in Python

  7. Error Handling in Python: try, except, finally & Raising Errors

  8. Working with Files in Python: Read & Write Using with open()

Phase 3 – Writing Pythonic Code

  1. Write Pythonic Code: PEP 8 Style Guide & Best Practices

  2. Python Comprehensions Deep Dive: Lists, Dicts & Sets

  3. Modules & Packages in Python: How to Organize Your Code

  4. if __name__ == "__main__": What It Really Means in Python

  5. Virtual Environments in Python: venv, pip & requirements.txt

Phase 4 – Object-Oriented Python (OOP)

  1. OOP in Python – Part 1: Classes, Objects & __init__

  2. OOP in Python – Part 2: Inheritance, Polymorphism & super()

  3. Magic Methods in Python: __str__, __repr__, __len__ & More

  4. Iterators & Generators in Python: __iter__, __next__ & yield

Phase 5 – Mini Projects (Hands-On Practice)

  1. Python Mini Project: Build a Simple Calculator in the Terminal

  2. Python Mini Project: Contact Book Using Dictionaries & Files

  3. Working with CSV Files in Python: Read & Write Data Easily

  4. Working with JSON in Python: APIs, Config Files & More

  5. Date & Time in Python: datetime Module for Beginners

  6. Logging in Python: Stop Using print, Start Using logging

Phase 6 – Popular Python Libraries

  1. Call Web APIs in Python: HTTP Requests with the requests Library

  2. Pandas for Beginners: Introduction to DataFrames in Python

  3. NumPy Crash Course: Arrays, Shapes & Vectorized Operations

  4. Data Visualization in Python: Plots with matplotlib & seaborn

Phase 7 – Web Development with Python (Intro)

  1. Web Development with Python: Flask vs Django (Which to Learn?)

  2. Flask Tutorial for Beginners: Build Your First Web App

  3. Flask Templates with Jinja: Render Dynamic HTML Pages

  4. Handling Forms in Flask: GET, POST & Simple Validation

Phase 8 – Automation & Scripting

  1. Automating Your PC with Python: Files & Folders Using os & pathlib

  2. Web Scraping with Python: requests + BeautifulSoup Step by Step

  3. Schedule Python Scripts Automatically: Cron (Linux) & Task Scheduler (Windows)

Phase 9 – Intermediate / Advanced Python

  1. Advanced Comprehensions in Python: Nested & Conditional Patterns

  2. Decorators in Python: Functions That Modify Other Functions

  3. Context Managers in Python: How with Really Works

  4. Intro to Async Python: async, await & asyncio Basics

  5. Unit Testing in Python with unittest: Test Your Code the Right Way

  6. Unit Testing in Python with pytest: Modern Testing Made Simple

  7. How to Package & Distribute a Python Library (High-Level Overview)

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