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PythonHub

описание

News & links about Python programming. https://pythonhub.dev/

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Лучшие посты

за три месяца
  • 9 авг.137 просмотров1 реакций2 пересылок

    QueryTuner AI-Powered SQL Query Diagnostics. https://github.com/AutoShiftOps/querytuner

  • 8 авг.134 просмотров3 реакций2 пересылок

    mrexodia / ida-pro-mcp AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP. https://github.com/mrexodia/ida-pro-mcp

  • 9 авг.129 просмотров2 реакций2 пересылок

    Python Hub Weekly Digest for 2026-08-09 https://pythonhub.dev/digest/2026-08-09/

  • 8 авг.126 просмотров1 пересылок

    Turtle-inspired interactive Python project https://www.codembark.com/projects/fv20lz9map/spider-web-drawing

  • 11 авг.115 просмотров2 реакций1 пересылок

    Projects I Wouldn't Use Python For in 2026 A longtime Python developer reflects on decades of using Python for almost everything, then explains why it is no longer always his first choice and what he often uses instead. It also covers where Python still shines and why it remains an important part of his toolkit. https://menno.io/presentations/not-python-2026/index.html#/

  • 13 авг.111 просмотров2 реакций2 пересылок

    Django 6.1 released Django 6.1 is now available with features including model field fetch modes, database-level ForeignKey delete options, and dictionary-based email settings. Django 6.0 has ended mainstream support and will receive only security and data-loss fixes until April 2027. https://www.djangoproject.com/weblog/2026/aug/05/django-61-released/

  • 11 авг.111 просмотров1 реакций1 пересылок

    What linter rules make code worse? https://www.reddit.com/r/Python/comments/1vg0amj/what_linter_rules_make_code_worse/

  • 13 авг.111 просмотров1 реакций2 пересылок

    Categorization with NLP A practical look at building grocery categorization without machine learning, using NLP techniques such as stemming, n-grams, syllable splitting, and spell checking. The author shows how a hand-crafted Python algorithm handles messy real-world inputs and edge cases when training data is scarce. https://softwaremaniacs.org/blog/2026/07/30/categorization-with-nlp/en/

  • 12 авг.110 просмотров2 пересылок

    Antra A desktop music library builder that turns Spotify, Youtube Music Apple Music, Amazon Music, Tidal, Qobuz, and Deezer links into fully tagged local library in FLAC, ALAC, AAC, or MP3. https://github.com/anandprtp/Antra

  • 13 авг.108 просмотров2 реакций3 пересылок

    labs-OO-Agents NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents. https://github.com/nvidia-nemo/labs-OO-Agents

  • 11 авг.107 просмотров2 реакций3 пересылок

    LoopX Lightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across Codex, Claude Code, and other coding agents, with durable goals, quota-aware auto-wake, executable todos, evidence logs, and verifiable handoffs. https://github.com/huangruiteng/loopx

  • 11 авг.105 просмотров1 реакций2 пересылок

    Voice-Pro An AI-powered web application for speech recognition, translation, and dubbing. https://github.com/abus-aikorea/voice-pro

  • 11 авг.105 просмотров2 реакций3 пересылок

    Setting Django's DEBUG safely Deploying Django with DEBUG=True exposes your app to attackers. Learn why it's risky and how to fail closed so DEBUG=False stays the safe default. https://lincolnloop.com/blog/setting-djangos-debug-safely/

  • 13 авг.104 просмотров1 реакций4 пересылок

    How to Conquer Concurrency in Python A practical guide to Python concurrency that builds from OS fundamentals, processes, threads, race conditions, and the GIL to choosing between asyncio, threading, and multiprocessing. It also explains concurrency vs. parallelism, CPU vs. GPU tradeoffs, and how profiling and strong mental models help avoid common performance mistakes. https://www.youtube.com/watch?v=chrOym38pw4

  • 10 авг.103 просмотров2 пересылок

    GeoEq Geotechnical engineering, solved in Python. 170+ validated functions for soil mechanics, SPT, CPT, bearing capacity, settlement, liquefaction & slope stability. Apache 2.0. https://github.com/geoeq/geoeq

  • 12 авг.103 просмотров1 реакций2 пересылок

    Is := widely used? https://www.reddit.com/r/Python/comments/1vev5k1/is_widely_used/

  • 11 авг.103 просмотров2 пересылок

    esp32-ai Running a 28.9M parameter LLM on a microcontroller. https://github.com/slvDev/esp32-ai

  • 12 авг.101 просмотров1 пересылок

    Should we standardize docstring formats? https://www.reddit.com/r/Python/comments/1vjweaj/should_we_standardize_docstring_formats/

  • 12 авг.100 просмотров1 пересылок

    code_puppy The sassy AI code agent that makes IDEs look outdated. https://github.com/mpfaffenberger/code_puppy

  • 12 авг.99 просмотров1 реакций3 пересылок

    Why dict[str, Any] Slowly Destroys Your Code A Python booking system is refactored from loose dictionaries into a stronger domain model using dataclasses, enums, and value objects. The video shows where stronger types improve maintainability and where keeping a simple string is still the better choice. https://www.youtube.com/watch?v=lM7zWJRrRtg