Streamlit: The Rerun Model Before the Widgets
Streamlit turns a Python script into a data app by rerunning the whole file. Covers session state, cache, Community Cloud caps, and when FastAPI wins.
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Python vs JavaScript: Where Each Wins
Python wins data, ML, and automation; JavaScript wins the browser, and Node.js wins I/O-heavy APIs. If you can pick only one, pick the job.
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Python Context Managers: with, contextlib, and Async
A Python context manager is the with protocol: __enter__/__exit__, contextlib helpers, custom classes, and async with. Files are an example, not the definition.
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Python Decorators, Explained as a Name Swap
A Python decorator is a function that returns another function, usually applied with @wrapper syntax so the returned callable replaces the original name.
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3 Python Linters Compared by Speed and Depth
Compare three Python linters: Ruff, Flake8, and Pylint. Speed, rule coverage, Flake8 drop-in vs Pylint residual, VS Code setup, and when to keep each one.
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The 9-Step Scrapy Loop Most Scripts Rebuild
Scrapy is a crawl framework, not a parser. Learn the Engine loop, spiders, item pipelines, and when a requests + BeautifulSoup script still wins.
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LlamaIndex Playbook: RAG, Agents, and Production Gotchas
LlamaIndex for Python: RAG, agents, LlamaParse, LiteParse v2.1, vs LangChain, and the silent OpenAI fallback.
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Streamlit vs Gradio: Two Python Frameworks for Different Jobs
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Pydantic AI v2: Build and Ship Production Python Agents
Pydantic AI v2: type-safe Python agents with structured outputs, DI, and Logfire. Covers v2.0.0 Capabilities, deterministic evals, and LangChain comparison.
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mypy vs pyright: Two Checkers, One Pipeline, and a Speed Surprise
mypy catches 57% of type errors by default; pyright catches 97%. But mypy 2.1 now outruns pyright on batch CI. Here is the full 2026 breakdown.
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Should You Replace Black with Ruff?
Ruff has overtaken Black in monthly downloads and runs 30x faster. Here is when to switch and when to stay.
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pytest vs unittest: Why Most Python Devs End Up Using Both
pytest wins on features and developer adoption; unittest ships with Python. The practical story: pytest runs unittest tests natively, so most teams use both.
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