Skip to content

PYTHON.md

Latest commit

 

History

History
191 lines (130 loc) · 4.35 KB

PYTHON.md

File metadata and controls

191 lines (130 loc) · 4.35 KB
Raw

🐍 Python Mastery Roadmap (Zero to Expert)

🧭 Phase 1: Fundamentals (Weeks 1–3)

🎯 Goal: Build your foundation in Python.

Python Basics Video

Watch this video to kickstart your Python journey and understand the basics.

🗓️ Week 1–2: Python Basics

  • Introduction to Python
  • Installing Python + VS Code / Jupyter
  • Python Syntax, Variables, Data Types
  • Operators, Expressions
  • Conditional Statements (if, else, elif)
  • Loops (for, while)
  • Functions & Modules
  • File I/O Basics

🛠 Project: Simple CLI calculator

🗓️ Week 3: Core Data Structures

  • Lists, Tuples, Sets, Dictionaries
  • Comprehensions (List + Dictionary)
  • Sorting, Filtering, Slicing

🛠 Project: Contact Book App

🧭 Phase 2: Intermediate Topics (Weeks 4–8)

🎯 Goal: Level up logic and modularity.

🗓️ Week 4: Strings + File Handling

  • String methods, slicing, formatting
  • Regular Expressions (re)
  • File handling: .txt, .csv

🛠 Project: Text Analyzer

🗓️ Week 5–6: Functional Programming & Decorators

  • Lambda, Map, Filter, Reduce
  • Decorators, Generators
  • Closures, Higher-order functions

🛠 Project: URL Shortener

🗓️ Week 7: Exception Handling

  • try, except, finally
  • Custom exceptions

🛠 Project: CLI App with Error Handling

🗓️ Week 8: Object-Oriented Programming (OOP)

  • Classes, Objects, __init__
  • Inheritance, Polymorphism
  • Encapsulation, @classmethod, @staticmethod

🛠 Project: Bank Account Manager

🧭 Phase 3: Advanced Python (Weeks 9–14)

🎯 Goal: Master Python internals + work with real data.

🗓️ Week 9–10: Modules & Package Management

  • Python Standard Library
  • Creating & Using Modules
  • pip, venv, requirements.txt

🛠 Project: Custom String Utility Package

🗓️ Week 11–12: Data Analytics Toolkit

  • NumPy (arrays, broadcasting)
  • Pandas (DataFrames, merging, cleaning)
  • Data manipulation

🛠 Project: CSV Data Analysis (e.g. Sales or COVID Data)

🗓️ Week 13–14: Web Development (Flask/Django)

  • Flask or Django Basics
  • Routing, Jinja2 Templates
  • Forms, Sessions

🛠 Project: Personal Blog Website

🧭 Phase 4: Specialization (Weeks 15–20)

🎯 Goal: Connect Python to the real world.

🗓️ Week 15–16: Databases

  • SQLite Basics
  • SQLAlchemy ORM
  • CRUD Operations

🛠 Project: To-Do App with SQLite

🗓️ Week 17–18: Testing & Debugging

  • unittest, pytest
  • Debugging with pdb, breakpoints

🛠 Project: Add Tests to Previous Projects

🗓️ Week 19–20: Concurrent Programming

  • Threading (threading module)
  • Multiprocessing
  • Asyncio basics

🛠 Project: Concurrent Web Scraper

🧭 Phase 5: Expert Level (Weeks 21–26)

🎯 Goal: Build full-stack apps, ML models, and deploy them.

🗓️ Week 21–22: Advanced Web Dev & APIs

  • RESTful API with Flask/Django REST
  • Authentication (JWT)
  • Docker Basics

🛠 Project: REST API for E-commerce Site

🗓️ Week 23–24: Data Science & ML

  • scikit-learn basics (regression, classification)
  • Visualizations: Matplotlib, Seaborn

🛠 Project: House Price Predictor

🗓️ Week 25–26: DevOps & Cloud

  • CI/CD Concepts (GitHub Actions / Jenkins)
  • Deploy on AWS/GCP
  • Automation Scripts

🛠 Project: Auto Deploy Flask App with CI/CD Pipeline

🔄 Continuous Learning & Practice

  • Participate in Coding Competitions (LeetCode, HackerRank)
  • Contribute to Open Source Projects
  • Regularly Update Portfolio with Projects

📚 Resources

📘 Books

  • Python Crash Course by Eric Matthes
  • Automate the Boring Stuff with Python by Al Sweigart

💻 Online Platforms

🎥 YouTube Channels

  • Corey Schafer
  • Tech With Tim
  • freeCodeCamp

💼 Final Advice

Learn by building. Practice daily. Projects > theory. Don’t memorize, understand. Make GitHub your portfolio. Stay hungry, stay Pythonic.