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Python for Data Analysts Python for Data Analysts @pythonanalyst · 51.8K subscribers
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💻 Python Programming Roadmap

🔹 Stage 1: Python Basics (Syntax, Variables, Data Types) 
🔹 Stage 2: Control Flow (if/else, loops) 
🔹 Stage 3: Functions & Modules 
🔹 Stage 4: Data Structures (Lists, Tuples, Sets, Dicts) 
🔹 Stage 5: File Handling (Read/Write, CSV, JSON) 
🔹 Stage 6: Error Handling (try/except, custom exceptions) 
🔹 Stage 7: Object-Oriented Programming (Classes, Inheritance) 
🔹 Stage 8: Standard Libraries (os, datetime, math) 
🔹 Stage 9: Virtual Environments & pip package management 
🔹 Stage 10: Working with APIs (Requests, JSON data) 
🔹 Stage 11: Web Development Basics (Flask/Django) 
🔹 Stage 12: Databases (SQLite, PostgreSQL, SQLAlchemy ORM) 
🔹 Stage 13: Testing (unittest, pytest frameworks) 
🔹 Stage 14: Version Control with Git & GitHub 
🔹 Stage 15: Package Development (setup.py, publishing on PyPI) 
🔹 Stage 16: Data Analysis (Pandas, NumPy libraries) 
🔹 Stage 17: Data Visualization (Matplotlib, Seaborn) 
🔹 Stage 18: Web Scraping (BeautifulSoup, Selenium) 
🔹 Stage 19: Automation & Scripting projects 
🔹 Stage 20: Advanced Topics (AsyncIO, Type Hints, Design Patterns)

💡 Tip: Master one stage before moving to the next. Build mini-projects to solidify your learning.

You can find detailed explanation here: 👇 https://whatsapp.com/channel/0029VbBDoisBvvscrno41d1l

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