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✳️TELEGRAM | SUPPORT✳️ 🔥 Inline Bots & GIF Revolution 🔥 Hey Yoo! As Telegram team announced, one last update would come before the end of the year. ❗️Be patient: This last update focuses primarily on two things: INLINE BOTS and GIF files. Update is not yet on the stores, but it will come soon 😉 http://telegramgeeks.com/2015/12/inline-bots-gif-revolution/ #gifs#inline#bots#update

🔥 TELEGRAM NEXT UPDATE 🔥 ✳️ Inline bots: ➡️ A new way to add bot content to any chat. Type a bot's username and your query in the text field to get instant results and send them to your chat partner. Try typing “@gif dog” in your next chat. Sample bots: @gif @wiki @bingpic @vid ✳️ GIF revolution also coming! stay tuned😎 #update#bots#inline#gifs

Django 6.0 释出 Django Python Web 框架项目宣布释出 Django 6.0。主要新特性包括：支持内容安全政策（Content Security Policy 或CSP）；模板语言支持模板局部（Template Partials）；使用 Python 的 email API 处理邮件；等等。solidot | django 🏷#Django#Python#Web 📢频道👥群组📝投稿

#hacking#python 🐍 Python Hacking | Real Ethical Hacking with Python | PYCEH23+ Description: This immersive and comprehensive course is designed to equip you with the knowledge and hands-on skills necessary to excel in the exciting world of ethical hacking. With a focus on practical applications, this course covers everything you need to know about Python programming, making it accessible to both beginners and experienced programmers. You’ll embark on an exciting journey where you’ll learn how to harness the power of Python to manipulate MAC addresses, develop network scanners, execute Man-in-the-Middle attacks, intercept network traffic, create your own pentesting RAT (Remote Access Trojan) malware, and much more. 🌐En 🔗Link ----- Main channel:@repo_science Coupons:@freecoupons_reposcience -----

如果你对美洲河乌和狐狸的叫声感兴趣☺️ 欢迎访问聆听： <https://ysl.rosuh.me/atlas/> ✏ 背景： YSL 项目是 19 年（已经六年了！）做的一个 Python 爬虫项目，主要收集美国黄石国家公园的线上声音资源并打包。 一直以来都没找到非常好的前端 UI 来展示。昨天用 Claude Code ➕ Codex ，终于做出了一个前端的页面，我个人非常满意。 所以分享给大家。 手机发帖，只有一张截图，将就看看👀： via V2EX 分享创造 标签: #YSL#Python#UI ⚡️探索号频道 ⚡️探索者频道 ⚡️探索者交流群 ⚡️ Youtube 频道：科技探索者 每天推荐有趣内容，欢迎订阅、转发。

RSSHub 的替代品： RSSerpent 来自于 @Queensferryme 的新 #开源 项目 #RSSerpent 发布了 0.1.0 版本，用 #Python 实现。作者在其日志介绍了项目初衷、设想与未来计划： https://qufy.me/post/announcing-the-rsserpent-project/ 作者引入了插件机制等办法来针对性地解决当下 #RSSHub 项目所遇到的困境，因此 RSSerpent 旨在成为 #RSSHub 的替代品。 RSSerpent 官群：https://t.me/rsserpent

🤖 Reachy Mini — первый доступный робот от Hugging face Reachy Mini — это выразительный и полностью open-source робот, созданный для взаимодействия с человеком, коммуникации и экспериментов с ИИ. 🧠 Что делает его особенным? - Все ПО открыто и написано на Python, а скоро будет достнуо — и на JavaScript и Scratch - Базовая версия стоит $299, еще доступна wireless-версия за $449 - Открытая архитектура и SDK — идеален для экспериментов с LLM, аудио- и визуальными агентами С ним можно разрабатывать, тестировать, запускать и делиться реальными ИИ-приложениями — на базе современных LLM-моделей. Технические характеристики - Высота: 28 см, в режиме сна — 23 см - Ширина: 16 см, вес: 1.5 кг - Поставляется в виде конструктора: - Lite-версия — базовый функционал - Полноценная версия — автономная версия с Raspberry 5 внутри, встроенным питанием, Wi‑Fi, микрофонами и камерой 🎤 Датчики и интерфейсы - Микрофоны: Lite — 2, Wireless — 4 встроенных микрофонов hyper.ai - Камера: широкоугольная фронтальная камера (в wireless-версии) - Акселерометр: встроен в Wireless-версию 🔗 Подробнее: http://hf.co/blog/reachy-mini @ai_machinelearning_big_data #huggingface#Reachy#opensource#Python

#抢票#Python#大麦 ticket-purchase：大麦自动抢票脚本 这是一个基于 Python 的自动抢票工具，主要用于大麦网。 支持自定义配置观演人、城市、场次、票档，并可选择是否自动提交订单或仅监听。 项目提供两种方式： • Web 版：基于 Selenium 自动化浏览器操作。 • App 版：基于 Appium 驱动大麦 Android 客户端。 ⚠️ 折腾频道机友：此类脚本可能违反平台服务条款，存在被封号或法律风险，仅供学习研究。 🔘@TossLab🔘@TossLabChannel

🔻标题：Pyinstaller程序之pyc文件解包工具 🌈说明: 【详细见评论区】 ✉️标签：#pyinstaller#pyc#python#工具

Taming the #Python Visualization Jungle It’s no secret that Python has a ton of plotting libraries—but which ones should you use? And how should you go about choosing them? Many people end up sticking with whatever library they first encountered, even if there are now much better tools for the job. Join #Anaconda Co-Founder and CTO Peter Wang and Senior Solutions Architect James Bednar for a live webinar on Wednesday, November 29, at 12pm CT, as they give you some key starting points and demonstrate how to solve a range of common problems. They’ll take a workflow-oriented approach toward exploring the large ecosystem of Python viz libraries, and show you how to: http://bit.ly/2zpATx7

https://www.slideshare.net/jmoc25/discovering-python-search-engines/1 Discovering #python#search engines

http://www.blopig.com/blog/2016/08/processing-large-files-using-python/ Oxford Protein Informatics Group (OPIG) Processing large files using python In the last year or so, and with my increased focus on ribo-seq data, I have come to fully appreciate what the term #big_data means. The ribo-seq studies in their raw forms can easily reach into hundreds of GBs, which means that processing them in both a timely and efficient manner requires some thought. In this blog post, and hopefully those following, I want to detail some of the methods I have come up (read: pieced together from multiple stack exchange posts), that help me take on data of this magnitude. Specifically I will be detailing methods for #python and R, though some of the methods are transferrable to other languages.