Best of Python — January 2026

1. 1
   Article

   freeCodeCamp·16w

   Learn Dynamic Programming Through Dynamic Visuals

   A comprehensive 2-hour video course teaches dynamic programming through visual patterns rather than memorization. Created by an ex-Google engineer, it covers six fundamental DP patterns including constant transition, grid patterns, two sequences, interval DP, non-constant transition, and knapsack problems. Each pattern is explained with logic and Python code examples, using classic problems like Climbing Stairs, Longest Common Subsequence, and Coin Change to build intuition for optimization.

   308

   1
2. 2
   Video

   Tiff In Tech·18w

   The Rise of Hobby Developers: Why Side Projects Build the Future of Tech

   Side projects have historically driven major technological innovations, from Linux and Python to Facebook and GitHub. Most modern software depends on open-source components maintained largely by hobby developers contributing in their spare time. With over 70% of developers coding outside work, side projects serve as the tech industry's research lab, allowing experimentation without commercial pressure. These projects aren't career distractions but essential pathways for skill development, innovation, and maintaining the health of both individual developers and the broader tech ecosystem.

   140

   2
3. 4
   Article

   Planet Python·17w

   “I’m worried about layoffs”

   Developers often make the mistake of only focusing on skill development when facing job insecurity. The key is to invest in learning during stable periods ("Peace Time") rather than waiting for crisis ("War Mode"). When employed and comfortable, dedicate 5 hours weekly to building projects outside your comfort zone and learning intimidating tools. This proactive approach ensures you're prepared when layoffs or career challenges arise, rather than trying to learn under the stress of unemployment.

   79

   9
4. 5
   Article

   Collections·18w

   Linus Torvalds Unveils AudioNoise: An Open-Source Digital Guitar Pedal Project

   Linus Torvalds released AudioNoise, an open-source digital guitar pedal simulator on GitHub that explores digital signal processing and hardware design. The project uses manually coded C components and AI-assisted Python visualization through Google's Antigravity AI IDE. Torvalds advocates for 'vibe coding' with AI tools for non-critical projects, particularly when working with less familiar programming languages. AudioNoise runs on RP2354 hardware with TAC5112 codec, demonstrating how AI coding assistants can bridge research and implementation while enhancing learning outcomes.

   73

   10
5. 6
   Article

   Planet Python·16w

   The missing 66% of your skillset

   Senior developers need more than just programming language expertise. The ecosystem around Python—including dependency management (uv), Git workflows, testing (pytest), quality control (Ruff, type checkers), CI/CD automation (GitHub Actions), deployment (Docker, Cloud), and CLI proficiency (Makefiles)—comprises roughly two-thirds of professional skillset. Mastering these tools differentiates engineers from scripters and helps developers escape tutorial hell.

   70

   1
6. 7
   Video

   Honeypot·16w

   FastAPI grew so fast!

   FastAPI, a Python web framework, experienced rapid growth in popularity, evidenced by its GitHub stars surging from zero to 500 in just a few days after appearing on platforms like Reddit or Hacker News, and continuing to grow at a high speed thereafter.

   69

   3
7. 8
   Article

   Code Like A Girl·17w

   I Scraped 10,000 Reddit Posts to Find Out Why Data Analysts Are Panicking

   A data analyst scraped 10,000 Reddit posts from data analytics subreddits using Python's PRAW API to analyze career anxiety in the field. The analysis revealed that automation fear and skill overload are the top concerns, with analysts worried about AI replacing jobs while simultaneously feeling pressure to master multiple technologies. Engagement analysis showed job market saturation generates the most discussion, while sentiment tracking from 2017 to present revealed fluctuating confidence levels, with a notable dip in 2017 and instability from 2024 onward due to AI advancements.

   65

   6
8. 9
   Article

   Red Hat Developer·18w

   The case for building enterprise agentic apps with Java instead of Python

   Java offers significant advantages over Python for enterprise AI applications in regulated industries. The JVM provides architectural stability through compile-time verification, mature security tooling with SAST and CVE management, and unified observability. Java frameworks like Spring AI and Quarkus with LangChain4j enable production-grade agentic applications while maintaining existing governance standards, reducing cognitive load on teams, and leveraging established Java expertise. Code-specialized LLMs also generate higher quality Java code due to strong typing and abundant well-structured training data.

   64

   6
9. 10
   Article

   Planet Python·19w

   Localising xkcd

   A collection of localized versions of the famous xkcd 327 'Little Bobby Tables' comic, adapted for various European PyCon conferences in 2025. The localizations were created to illustrate SQL injection prevention using Python 3.14's new template strings (t-strings) feature during lightning talks at PyCon Italia, Greece, Estonia, Finland, and Sweden.

   63

   1
10. 11
    Article

    ByteByteGo·18w

    How Lyft Built an ML Platform That Serves Millions of Predictions Per Second

    Lyft built LyftLearn Serving, an ML platform handling millions of predictions per second using a microservices architecture. Instead of a shared monolithic system, they generate independent microservices for each team via configuration templates. The platform separates data plane concerns (runtime performance, inference execution) from control plane concerns (deployment, versioning, testing). Key features include automated model self-tests, flexible library support (TensorFlow, PyTorch), and dual interfaces for engineers and data scientists. The architecture uses Flask/Gunicorn for HTTP serving, Kubernetes for orchestration, and Envoy for load balancing. Over 40 teams migrated from the legacy system, achieving team autonomy while maintaining platform consistency.

    53

    1
11. 12
    Article

    Adam Johnson·17w

    Python: introducing tprof, a targeting profiler

    tprof is a new targeting profiler for Python 3.12+ that measures performance of specific functions rather than entire programs. Unlike traditional profilers that add overhead across the whole codebase, tprof uses sys.monitoring to track only designated target functions, providing quick command-line reports with timing statistics. It supports comparison mode to benchmark "before" and "after" versions of optimized code, showing percentage improvements. The tool offers both CLI and Python API interfaces, with timing done in C to minimize overhead.

    38

    1
12. 13
    Article

    Planet Python·15w

    7 Software Engineering Fixes To Advance As A Developer

    Developers often get stuck in "Tutorial Hell" despite knowing syntax and solving code challenges. Seven key engineering shifts can help break this pattern: finishing projects instead of abandoning them, learning the full ecosystem beyond just coding (Docker, Git, Testing, CI/CD), getting feedback instead of coding in isolation, and adopting better debugging practices like the 20-Minute Rule. The focus is on shipping real projects rather than accumulating unfinished courses and repositories.

    32

    1
13. 14
    Article

    Product Hunt·15w

    YepCode: Developer-first AI integrations: build, run, scale safely

    YepCode is a developer-first platform for building and running AI-powered integrations using JavaScript or Python. It provides secure execution sandboxes, secrets management, webhooks, scheduling, and logging infrastructure. Key features include Yep Agent (converts prompts into runnable processes), MCP server/tools (transforms code into agent tools), and YepCode Run (serverless runtime with SDK). The platform targets developers who need more flexibility than no-code tools offer, enabling AI agents to safely access internal APIs, databases, and SaaS applications with proper governance.

    28
14. 15
    Article

    Jeff Geerling·17w

    Migrating 13,000 Comments from Drupal to Hugo

    A detailed account of migrating 13,000+ comments from a Drupal CMS to a Hugo static site using Remark42 as the commenting system. The author shares the technical implementation including Docker setup, spam prevention challenges, database export scripts, and local development configuration. The post also reflects on using LLMs as coding assistants during the migration process, comparing them to junior developers and discussing concerns about their impact on developer mentorship and career progression.

    26
15. 16
    Article

    InfoWorld·17w

    PHP language still relevant, advocate insists

    PHP remains highly relevant in 2026 despite declining spotlight, powering major platforms like WordPress and Drupal. A Perforce Zend specialist argues PHP is still the most popular server-side language by wide margin, with PHP 8.x improvements addressing performance concerns through JIT compilation and enhanced concurrency handling. While Python excels at ML and real-time analytics, and Java suits massive enterprise systems, PHP offers faster development cycles and adapts well to cloud-native and containerized deployments. Current language popularity indexes rank PHP between 7th and 15th place.

    26

    6
16. 17
    Article

    TestDriven.io·19w

    Cursor vs. Claude for FastAPI Development

    A detailed comparison of Cursor and Claude AI tools for FastAPI development tasks. The evaluation covers endpoint creation, test generation, and implementing HTMX patterns in a party management app. Claude generally produced more comprehensive tests and ran them automatically, while Cursor better handled form parameters and type annotations. Both tools produced similar functional results when given structured codebases and detailed prompts, with Claude being more thorough but Cursor being faster. The comparison shows that with proper guidance and existing code patterns, both AI assistants can generate production-quality code with minimal differences.

    21
17. 18
    Article

    LangChain·17w

    How Remote uses LangChain and LangGraph to onboard thousands of customers with AI

    Remote built a Code Execution Agent using LangChain and LangGraph to automate customer data migrations during onboarding. The system separates LLM reasoning from code execution: models decide what transformations to perform, while Python code in a WebAssembly sandbox handles actual data processing. This hybrid approach bypasses context window limitations and hallucination risks by keeping large datasets outside the LLM's context. The agent transforms diverse HR and payroll data formats (CSV, Excel, SQL exports) into standardized JSON schemas, reducing migration time from days to hours while maintaining accuracy and auditability for compliance-critical operations.

    13
18. 19
    Article

    Planet Python·18w

    PyCoder’s Weekly

    This weekly Python newsletter curates recent articles, tutorials, and projects. Featured topics include unit testing for performance with Big-O scaling, using the Cursor AI coding editor, recursive structural pattern matching, and optimizing Docker build cache. It also covers draft PEPs for dedented multiline strings, unified slot systems, and JSON package metadata, plus Django bugfix releases. Additional content includes speeding up Python's packaging library, debugging with f-strings, switching from Mypy to ty type checker, and several new Python projects for PDF forms, geocoding, and desktop automation.

    10