Best of Python — February 2026

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   freeCodeCamp·14w

   Harvard CS50 2026 – Free Computer Science University Course

   Harvard's CS50 2026 course is now available as a free 25-hour video series covering fundamental computer science concepts. The course teaches algorithmic thinking and problem-solving through multiple programming languages including C, Python, SQL, HTML, CSS, and JavaScript. Topics span algorithms, data structures, memory management, web programming, and a new section on artificial intelligence's impact on computer science. Taught by David J. Malan, the course is designed for beginners with no prior programming experience.

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   Article

   Code Like A Girl·14w

   I analyzed 50,000 Dating Profiles to Decipher the Myths of Love in Algorithm

   A data scientist analyzes 50,000 dating app profiles to debunk common dating myths using Python and machine learning. The analysis reveals that urban users get 40% more successful relationships but double the catfish rate, picky swipers (right-swipe <25%) perform better than desperate ones, and spending more time on apps doesn't increase matches. A logistic regression model achieves 99.15% accuracy in predicting compatibility based on swipe behavior, app usage patterns, and shared interests—proving that behavioral alignment matters more than common hobbies.

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   Article

   Hacker News·11w

   What Claude Code Actually Chooses — Amplifying

   A study of 2,430 Claude Code interactions across real repositories reveals that the AI coding assistant strongly prefers building custom solutions over recommending third-party tools — appearing as the top choice in 12 of 20 categories. When it does pick tools, choices are decisive: GitHub Actions (94%), Stripe (91%), shadcn/ui (90%). Deployment is stack-determined: Vercel for JS, Railway for Python, with traditional cloud providers getting zero primary picks. Significant generational shifts exist between model versions, notably Prisma→Drizzle for JS ORM, Celery→FastAPI BackgroundTasks for Python jobs, and Redis→Custom/DIY for caching in newer models.

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   Video

   Indently·12w

   It's 2026 - Time to switch to Linux

   A developer shares their decision to switch from macOS to Linux, citing frustration with Apple's increasing subscription services and intrusive ads in native apps. They're seeking community recommendations for Linux distributions and hardware (considering Lenovo or Framework laptops) while planning to create Linux tutorials alongside their existing Python content. The channel is sponsored by Zed code editor.

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   Article

   Vincent D. Warmerdam·12w

   Having fun while exploring topology

   A playful exploration of the Borsuk-Ulam theorem using interactive Python notebook widgets. The author demonstrates the 1D case of the theorem — that any closed curve on a circle always has two antipodal points at the same height — by letting users draw points on a canvas, smoothing a line through them, and plotting it in polar coordinates. The mathematical proof is also walked through using the Intermediate Value Theorem.

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   Article

   Code Like A Girl·14w

   I Became a Developer Again Without Meaning To

   A former developer returns to coding after 15+ years to build a gender diversity tracker for Substack's Technology leaderboards. The journey involves learning modern tools (VS Code, GitHub, Chrome extensions) with AI assistance (ChatGPT, Copilot), pivoting from UI scraping to API calls, and ultimately settling on a Python/SQLite/Streamlit stack. The project highlights both the challenges of being a beginner again and the accessibility of building with AI as a co-pilot.

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   Article

   Vercel·15w

   Python 3.13 and 3.14 are now available

   Python 3.13 and 3.14 are now supported in Vercel Builds and Functions, alongside the existing Python 3.12. Projects without a specified version currently default to Python 3.12, but this will change to Python 3.14 in the coming months. To maintain Python 3.12, developers need to specify version constraints in their pyproject.toml or Pipfile configuration files.

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   Article

   Planet Python·12w

   Python Environments Extension for VS Code

   Microsoft has released the Python Environments extension for VS Code into general availability after a year in preview. The extension unifies management of Python environments across all major tools—venv, conda, pyenv, poetry, and pipenv—through a single UI powered by PET, a Rust-based environment scanner. Key features include Quick Create and Custom Create workflows, Python Projects for mapping environments to specific folders (useful in monorepos), portable settings that store manager type rather than hardcoded paths, built-in package management, three terminal activation modes, and project scaffolding from templates. Integration with uv enables significantly faster environment creation and package installation. The extension also supports multi-project testing with isolated interpreters per project and exposes a public API for third-party environment managers to integrate into the VS Code sidebar.

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   Video

   CodeHead·12w

   Learn Backend Development in 5 minutes (NO PRIOR KNOWLEDGE)

   A beginner-friendly overview of backend development fundamentals covering language selection (Python, Node.js, Java/Spring Boot), HTTP methods and status codes, web frameworks, SQL vs NoSQL databases, authentication vs authorization, REST APIs, and basic security practices like environment variables and input validation.

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    Article

    Planet Python·15w

    Coding can be super lonely

    Solo coding can lead to isolation and stagnation without peers to share challenges, review code, or provide feedback. Working in a vacuum reinforces bad habits and limits growth. Breaking this cycle requires seeking code reviews focused on logic, building tools for others to create accountability, and engaging with developer communities. Growth comes from friction with other developers and community engagement, not from coding alone.

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    Article

    Planet Python·12w

    How Even Senior Developers Mess Up Their Git Workflow

    Git merge conflicts aren't just a junior developer problem — even experienced developers fall into bad habits. Three non-negotiable Git practices can prevent most conflicts: using issue trackers with granular tickets to avoid coding in isolation, checking for open pull requests before branching (not just pulling from main), and mastering recovery commands like `git stash` and `git cherry-pick` for when things go wrong. The authors share a real-world example where they broke all three rules simultaneously while working on their book-tracking app, resulting in a painful weekend of manual conflict resolution.

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    Planet Python·12w

    Why do we insist on struggling alone?

    Using a basketball team analogy, this post argues that developers waste time struggling alone when experienced mentorship or coaching can accelerate growth dramatically. It promotes the Pybites Developer Mindset (PDM) program, a 12-week personalized 1:1 coaching program focused on project-based development, PR reviews, and bridging individual knowledge gaps.

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    Article

    GitHub Blog·15w

    What the fastest-growing tools reveal about how software is being built

    TypeScript has overtaken JavaScript as the fastest-growing language on GitHub, driven by AI-assisted development workflows where type systems catch errors earlier. Python continues rapid growth, particularly for production AI systems beyond experimentation. The fastest-growing open source projects emphasize speed, reproducibility, and minimal friction. Typed languages are becoming the default for new development as AI code generation benefits from stronger type checking. Clear documentation and contributor guides remain the highest-leverage improvements for growing open source communities.

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    Article

    Max Woolf's Blog·11w

    An AI agent coding skeptic tries AI agent coding, in excessive detail

    A self-described AI agent skeptic documents their journey from dismissing agentic coding to becoming a cautious convert after working with Claude Opus 4.5 and OpenAI Codex. The author shares detailed real-world experiments: building a YouTube scraper, a FastAPI webapp, Rust packages with Python bindings (icon rendering, word clouds, a terminal MIDI DAW, a physics simulator), and ultimately developing high-performance Rust implementations of ML algorithms (UMAP, HDBSCAN, GBDT) that outperform existing C/C++ libraries by 2-100x. Key insights include the importance of a well-crafted AGENTS.md file for controlling agent behavior, chaining Codex and Opus for iterative optimization, and the value of having approximate domain knowledge to audit agent output. The author remains measured—acknowledging real productivity gains while resisting hype—and open-sources all projects.

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    Article

    Real Python·14w

    pandas 3.0 Lands Breaking Changes and Other Python News for February 2026 – Real Python

    Python 3.15 alpha releases show JIT compiler performance gains of 7-8% on some platforms. pandas 3.0 introduces breaking changes including Copy-on-Write semantics, dedicated string dtype, and requires Python 3.11+. The PSF received $1.5M from Anthropic for security infrastructure improvements. PyTorch 2.10 deprecated TorchScript in favor of torch.export. PEP 822 proposes d-strings for cleaner multiline string handling. Black 26.1.0 stabilized its 2026 formatting style, and the Python Developers Survey 2026 is now open.

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    Article

    Eli Bendersky·14w

    Rewriting pycparser with the help of an LLM

    The author rewrote pycparser, a widely-used Python C parser with 20M daily downloads, replacing its PLY-based YACC parser with a hand-written recursive descent parser using an LLM coding agent (Codex). The rewrite was motivated by PLY's abandonment, growing parsing conflicts, and maintenance challenges. While the agent completed the initial port in over an hour and passed all 2500+ test cases, significant manual refinement was needed to improve code quality, readability, and performance. The final result is 30% faster, eliminates the PLY dependency, and required only 4-5 hours of human effort versus an estimated 30-40 hours without AI assistance.

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    Article

    freeCodeCamp·11w

    Learn Python and Build Autonomous Agents

    A 6-hour freeCodeCamp course covering Python fundamentals through AI agent development. The curriculum spans four modules: Python essentials (variables, loops, functions), data science foundations (NumPy, Pandas, SQLite), API development (REST APIs, FastAPI), and AI/LLM integration including ChatGPT, Gemini, and open-source HuggingFace models for building autonomous agents.

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    Article

    Python Insider·13w

    Python Insider: Python 3.15.0 alpha 6

    Python 3.15.0 alpha 6 is now available for testing. Key features include a new high-frequency statistical sampling profiler (PEP 799), unpacking in comprehensions, UTF-8 as default encoding, and significant JIT compiler upgrades delivering 3-4% performance improvement on x86-64 Linux and 7-8% on AArch64 macOS. Additional improvements include TypedDict with typed extra items, a new PyBytesWriter C API, and enhanced error messages. The beta phase begins May 5, 2026, with the next alpha release scheduled for March 10, 2026.

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    Article

    freeCodeCamp·14w

    How to Dockerize Your Application and Deploy It

    Docker packages applications with all dependencies into containers that run consistently across environments. This guide walks through containerizing a FastAPI-based LogAnalyzer Agent by writing a Dockerfile, building an image, handling environment variables securely, testing locally, and deploying to Sevalla cloud platform via DockerHub registry. The process transforms a local Python application into a production-ready service.

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