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#WTF#Hardware#RP2040#RPiPico#Python#CircuitPython 妈耶，Adafruit CircuitPython 的这个 "中文(拼音)" 本地化界面是真的有毒... // 多音字有几个错的，看起来不是人工写的本地化，是按字替换的。

🚘 6星司机 🎡伦伦小可乐🇨🇳（⭐⭐⭐⭐⭐⭐） 发布了一辆 #Spotify 5 人合租车，自用长期稳定车，曲库全有歌词，Spotify会员的不二之选。任何区都可以转区加入 最低 9.2 元/月，剩余 3 个空位置. 点击上车 🚘 1星司机 脑袋困掉了（⭐） 发布了一辆 #Spotify 5 人合租车，欢迎加入菲区家庭会员，提供保姆式上车服务（注册/下载/改区），也可自助上车（已菲区）。支持季，半年付最低 11.27 元/月，剩余 5 个空位置. 点击上车 🚘 6星司机 🎡伦伦小可乐🇨🇳（⭐⭐⭐⭐⭐⭐） 发布了一辆 #iCloud 5 人合租车，iCloud 2T 家庭，人均400G，长期自用最低 18.66 元/月，剩余 3 个空位置. 点击上车 🚘 5星司机 Kelor（⭐⭐⭐⭐⭐） 发布了一辆 #HBOGO 5 人合租车，HBOGO,支持杜比全景声,支持中文界面与中文字幕哦!欢迎大家加入最低 13 元/月，剩余 2 个空位置. 点击上车 🚘 2星司机 弟中弟（⭐⭐） 发布了一辆 #HBOGO 5 人合租车，西部世界，第四季，中文简体字幕。每人两个设备，台湾线路使用，已年付，稳的一批。最低 13 元/月，剩余 3 个空位置. 点击上车 🚘 1星司机 LabonHzh（⭐） 发布了一辆 #Nintendo Switch Online 4 人合租车，年付自动续费，稳定车最低 8.02 元/月，剩余 4 个空位置. 点击上车 🚘 6星司机 🎡伦伦小可乐🇨🇳（⭐⭐⭐⭐⭐⭐） 发布了一辆 #YouTube 5 人合租车，美区油管会员，升级你自己的账号，购买后获取邀请，6级车主售后保障最低 10.5 元/月，剩余 3 个空位置. 点击上车 🚘 1星司机 se7en_超（⭐） 发布了一辆 #YouTube 5 人合租车，美国区家庭组YouTube premium拼车，支持季付，半年付，年付最低 8.16 元/月，剩余 3 个空位置. 点击上车 🚘 1星司机 张先生（⭐） 发布了一辆 #YouTube 5 人合租车，YouTube印区家庭组，长期稳定最低 9.34 元/月，剩余 5 个空位置. 点击上车 🚘 2星司机 十八子（⭐⭐） 发布了一辆 #deezer 6 人合租车，体验不同的HiFi音乐流媒体 土区家庭组独立账户, 可选曲风喜好国家 每人两设备最低 5.42 元/月，剩余 3 个空位置. 点击上车

#python#beancount Beancount is free, open-source double-entry accounting software that uses simple text files to track finances, create reports, and view data via a web interface. Download the current stable Version 3 from GitHub, check docs at beancount.github.io/docs, and ask questions on the mailing list. This helps you manage money flexibly with version control, automation, privacy, and no vendor lock-in, saving time on tracking expenses, assets, and budgets accurately. https://github.com/beancount/beancount

#python#ai_researcher AI-Researcher is a powerful tool that fully automates scientific research from start to finish. It can review literature, generate new research ideas, design and implement algorithms, validate results, and even write complete academic papers. You just provide research ideas or reference papers, and it handles the rest using advanced AI agents. This saves you time and effort by streamlining complex research tasks, helping you innovate faster without needing deep technical expertise. It supports multiple AI models, offers a user-friendly web interface, and includes a benchmark to evaluate research quality, making it an efficient assistant for accelerating scientific discovery. https://github.com/HKUDS/AI-Researcher

https://github.com/google/python-fire #Python#Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object. Python Fire is a simple way to create a CLI in Python. Python Fire is a helpful tool for developing and debugging Python code. Python Fire helps with exploring existing code or turning other people's code into a CLI. Python Fire makes transitioning between Bash and Python easier. Python Fire makes using a Python REPL easier by setting up the REPL with the modules and variables you'll need already imported and created.

https://hackernoon.com/httpretty-now-supports-asyncio-e310814704c6 #HTTPretty now supports asyncio! and #Python 3, consequently…

http://ericsu.me/tech/2016/06/24/top-10-mistakes-that-python-programmers-make.html The 10 Most Common #Mistakes That #Python Developers Make.

https://www.pythonistacafe.com/ Inside PythonistaCafe, you'll interact with professional developers and hobbyists from all over the world who will share their experiences in a safe setting—so you can learn from them and avoid the same mistakes they've made. Ask anything you want and it will remain private. You must have an active membership to read and write comments and as a paid community, trolling and offensive behavior are virtually nonexistent. #python#cafe

http://stackoverflow.com/questions/41688016/update-pip3-for-python-3-6 upgrade #pip for #Python 3.6.

The best Python books. #article#resources#book#python @thedevs https://kutt.it/agk8pm

​​dvc 为机器学习实验设计的版本控制，可以兼容任何git存储库。用于管理实验数据和代码，可以重现实验过程和结果。（视频很有意思） Tags：#machinelearning#versioncontrol#tools Languages：#python

💀NeuroSploit v2 - продвинутый AI-фреймворк для тестирования на проникновение (пентеста). NeuroSploit v2 использует большие языковые модели, чтобы автоматизировать и усилить offensive security. Фреймворк помогает анализировать цели, находить уязвимости, планировать эксплуатацию и поддерживать защитные меры, сохраняя фокус на этике и операционной безопасности. Основные возможности: • Агентная архитектура Специализированные AI-агенты под разные роли: Red Team, Blue Team, Bug Bounty Hunter, Malware Analyst. • Гибкая интеграция LLM Поддержка Gemini, Claude, GPT (OpenAI) и Ollama с настройкой через профили. • Тонкая настройка моделей Отдельные LLM-профили для каждой роли: выбор модели, температура, лимиты токенов, кэш и контекст. • Markdown-промпты Динамические шаблоны промптов, адаптирующиеся под задачу и контекст. • Расширяемые инструменты Интеграция Nmap, Metasploit, Subfinder, Nuclei и других security-инструментов через конфигурацию. • Структурированные отчёты JSON-результаты кампаний и удобные HTML-отчёты. • Интерактивный CLI Командная строка для прямого управления агентами и сценариями. NeuroSploit v2 - пример того, как agentic AI превращает пентест из ручной работы в управляемую автоматизацию. git clone https://github.com/CyberSecurityUP/NeuroSploitv2.git cd NeuroSploitv2 ▪Github: https://github.com/CyberSecurityUP/NeuroSploit @ai_machinelearning_big_data #python#Penetrationtesting#llm#mlops#Cybersecurity