python

Python is a sensible first language: readable syntax, a huge library ecosystem, and use in web, data, and automation work. This guide covers setup, a phased learning path, free courses, debugging, learning with AI assistants, and a project ladder.

Compare Django, Flask, and FastAPI on speed, features, async support, and use cases. Code examples and a 10-dimension comparison table.

Pydantic AI explained: the type-safe Python framework for production LLM apps. Features, code examples, and how it compares to LangChain.

LangChain and LlamaIndex both build LLM apps in Python. Differences, strengths, code examples, and when to pick each in 2026.

uv is a Rust-based Python package manager from Astral, 10-100x faster than pip. Here's what it does, when to use it, and how it compares to poetry.

Master Python for data science in 2026. Covers essential libraries, workflows, career paths, and learning roadmap with real examples.

Learn NumPy from scratch — arrays, broadcasting, vectorization, indexing, and linear algebra. The bedrock library behind pandas, scikit-learn, and PyTorch.

Learn pandas: DataFrames, loading, cleaning, groupby, merging, and plotting, with pandas 3.0 code examples and a full CSV-to-insight analysis pipeline.

Quick reference for Python data libraries 2026: Pandas, Polars, DuckDB, NumPy, Plotly. Common operations side-by-side. Bookmark for daily work.

Automate repetitive tasks with Python: file management, web scraping, emails, API calls, and scheduling — with practical code examples.

Polars vs Pandas compared: real benchmarks, syntax differences, migration strategy. Why Polars is often 10 to 20x faster and when switching still isn't worth it.

DuckDB vs Pandas: when to use each, performance benchmarks, SQL vs Python syntax, real examples. DuckDB is faster and handles larger data — should you switch?