Python
Python tutorials and programs for beginners and experienced developers.
New to Python? The Python Learning Roadmap 2026 hub post lays out the full learning path across all 8 tracks below — read it here.
1. Python for Everyone — Core Track
The complete beginner-to-intermediate foundation: setup to asyncio. All 14 parts published.
- Python Setup (2026): Install Python, VS Code, pip and Virtual Environments
- Python Variables, Data Types and Operators with Examples
- Python Strings: The Complete Guide with Examples
- Python Lists, Tuples, Sets and Dictionaries Explained
- Python If-Else, Loops and Comprehensions
- Python Functions: Arguments, *args, **kwargs and Lambdas
- Python OOP Part 1: Classes and Objects
- Python OOP Part 2: Inheritance, Polymorphism and Dunder Methods
- Python Modules, Packages and pip Explained
- Python File Handling: Read, Write, JSON and CSV
- Python Exception Handling: try/except/raise
- Python Decorators and Generators Explained
- Testing Python Code with pytest: A Beginner's Guide
- Async Python: asyncio Crash Course
2. Python for Data Science
NumPy, pandas, visualization, and SQL with Python — the data toolkit. (~7 posts)
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3. Python for AI/ML
Machine learning fundamentals with scikit-learn, plus working with LLMs and AI APIs. (~7 posts)
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4. Python for Web & APIs
Building web apps and REST APIs with FastAPI/Flask, requests, and deployment basics. (~4 posts)
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5. Python for Automation
Scripts that save hours: files, spreadsheets, web scraping, and scheduling. (~4 posts)
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6. Python Interview Prep
The highest-yield Python interview questions with worked answers. (~3 posts, plus per-track interview posts)
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7. Python for FDE
Python for Forward Deployed Engineers: API-first integration, rapid prototyping, and take-home build interviews. (~7 posts)
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8. Python for Java Developers
A bridge track for Java developers: Python through Java-tinted glasses. (~3 posts)
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