jrovu (@jrovu@mastodon.social)
Project Typhoon - Phrases to Speech Audio files
Why: Create your own vocalized affirmations / create guided music instruction / Language learning playlists
What does it do: Import / type a list of phrases, and Typhoon will send back indvidual voice audio files (MP3), in a zip file
How: HTML form --> Python FastAPI. Sources from ElevenLabs (soon: local, open source audio synth).
Working on: Containerizing app & running in cloud (AWS AppRunner)
Source:
https://codeberg.org/jro/Typhoon_phrases-to-voice-audio
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willmcgugan (@willmcgugan@mastodon.social)
Latest screenshot of Toad. My terminal based interface for AI.
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guardingpearsoftware (@guardingpearsoftware@mastodon.social)
#WhatsApp Desktop users running Windows with #Python installed are vulnerable to arbitrary code execution because of a flaw in the way the app processes Python archive files.
https://cybersecuritynews.com/whatsapp-desktop-users-at-risk/
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pytexas (@pytexas@fosstodon.org)
Join us 9/2 at 8:00am for the 2nd anniversary of the PyTexas Virtual Meetup! #PyTexas Foundation president Mason Egger will be presenting Events are the Wrong Abstraction and talking about Durable Execution. See y'all there!
Join the discord! https://pytexas.org/meetup/join
#Python
#pythonprogramming
#Texas
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jobsfordevelopers (@jobsfordevelopers@mastodon.world)
Hudson River Trading is hiring Algorithm Development (Quant Research) PhD Internship – Summer 2026
🔧 #cplusplus #python
🌎 New York City, New York
⏰ Internship
🏢 Hudson River Trading
Job details https://jobsfordevelopers.com/jobs/algorithm-development-quant-research-phd-internship-summer-2026-at-hudsonrivertrading-com-aug-7-2025-98b462?utm_source=mastodon.world&utm_medium=social&utm_campaign=posting
#jobalert #jobsearch #hiring
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habr (@habr@zhub.link)
Генерация тестовых данных на Python: руководство по библиотеке Faker
Привет, Хабр! Думаю, многие сталкивались с необходимостью генерации тысячи пользователей. Вручную - не вариант, слишком долго. В данной статье разберу библиотеку Faker. Это генератор реалистичных тестовых данных, который превращает заполнение базы и создание демо-контента из рутины в дело пары строк кода. В статье продемонстрирую, как генерировать тысячи правдоподобных записей на русском, заполнять БД и создавать собственные типы данных для ваших проектов.
https://habr.com/ru/articles/940056/
#Python #Faker #генерация_данных #тестирование #автоматизация #скрипт #библиотека_python #библиотека #база_данных #бд
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post (@post@communick.news)
DukPy: Easy Javascript Interpreter for Python
https://communick.news/post/4065887
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somebitslinks (@somebitslinks@tech.lgbt)
rv for Ruby: Software package manager like Python's uv, but for Ruby
https://andre.arko.net/2025/08/25/rv-a-new-kind-of-ruby-management-tool/
#programming #software #python #ruby #uv #+
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sumanthvepa (@sumanthvepa@mastodon.social)
Here's a cool little trick I learned: How do you create UI in HTML/CSS/Javascript for a tictactoe nside a #Jupyter #notebook that communicates with a #python engine running a neural network that teaches itself how to play.
I asked ChatGPT for help and it gave me the code below. Which is broken, but there is enough of a meat in it that one can figure out how to build a functional game within a Jupyter notebook.
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sumanthvepa (@sumanthvepa@mastodon.social)
I'm writing the chapter on #neuralnetworks for my #python class, and Richard Feynman's quote seems more applicable than ever: 'If you want to master something teach it'. Preparing to teach this class is the most fun learning experience I've had in a really long time.
https://www.youtube.com/watch?v=zmCwPOjQNTw
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mblayman (@mblayman@mastodon.social)
🐍 How can you use #Python with Software Defined Radios (#SDR)? In this presentation, Patrick shows us his neat project of applying Python to recording radio signals. https://www.youtube.com/watch?v=MonR5zZL-Es
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notes (@notes@social.mikala.one)
Do I not like Ruby anymore? (2024) | Hacker News
LinkDo I not like Ruby anymore? (2024)
https://news.ycombinator.com/item?id=37732813
📌 Summary:
本文作者原本不喜歡 Python，但在職場上因工作需要開始接觸 Python，進而認識和欣賞了 Python 在語言設計上的進步，特別是型別提示（type hints）與模式匹配（match statements）等新功能，這些讓 Python 的開發體驗更為完整且強大。作者回顧自己過去喜愛 Ruby，讚賞 Ruby 簡潔且直覺的物件導向設計以及靈活的元編程能力，然而 Ruby 在過去十年變化不大，缺乏類似 Python 漸進型別系統的重大突破，使得作者漸漸覺得兩者的差距日益明顯。此外，作者也提及 TypeScript 的強大型別系統如何改變自己對動態語言的看法，讓他明白即便語言本身有缺陷，透過靜態分析仍可提升開發效率與程式正確性。整體來說，文章表達了對 Ruby 的不捨與懷念，但也肯定 Python 的現代化發展，反映出作者程式語言喜好隨時間與職場需求的演變。
🎯 Key Points:
→ Python 與 Ruby 的比較
★ Ruby 強調「萬物皆物件」與優雅語法，深受作者喜愛，特別是來自 Smalltalk、Lisp 的設計靈感。
★ Python 在語法設計上被作者視為較僵化，例如早期的 if 不可當作表達式，lambda 限制多，印表語句非函式等使作者難以接受。
★ Python 的進步：型別提示(Type hints)與模式匹配(match statements)大幅提升開發體驗，且型別系統對於大型專案和工具生態帶來正面影響。
→ TypeScript 與靜態型別系統的影響
★ TypeScript 成為動態語言中型別系統的金標準，能根據函式回傳型別縮窄變數、結構操作型別等，對前端程式開發極有助益。
★ 靜態分析的力量改變作者對語言特性的價值觀，寬容缺陷但要求良好型別檢查。
→ Ruby 的現況與未來
★ Ruby 在過去十年變化有限，雖有 YJIT、MJIT 及漸進型別系統工具（如 Sorbet、RBS）等改進，但缺乏核心語言上的重大革命。
★ Ruby 的設計重點仍在開發者愉悅與易用性，但面對大型系統與維護需求，缺乏先進型別系統是劣勢。
★ 作者表達自己心態轉變，從熱愛 Ruby 到對 Python 欣賞，意識到語言與生態系隨時間推進不可逆。
🔖 Keywords:
#Python #Ruby #TypeScript #型別提示_type_hints #漸進型別_system
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