alex (@alex@himself.alexanderdunkel.com)
If I had to explain my job... @ioer FDZ.. I'd just show this workflow from the last two days. It's a great example of building reproducible, automated documentation. 🚀
1. Start: A project schema, drafted by colleagues in Excel.
2. Problem: Excel isn't reproducible and is hard to use as a single source of truth for a database.
Solution: I migrated the schema to the universal Protobuf format, making it version-controlled and language-neutral. [1]
3. Problem: Protobuf definitions aren't easy for everyone to read.
Solution: Using an existing #CI/#CD workflow from [3] (cheers @mcnesium), I put the schema on a documentation website. Now it's accessible and legible. [4]
4. Problem: Colleagues still needed a familiar template for data collection.
Solution: Two Python scripts using #pandas now auto-generates both `.xlsx` and open-source `.ods` schema [5] and templates [6] directly from the Protobuf single-point-of-truth, and make all of these available for download, too.
5. Problem: The text-based schema wasn't visual enough.
Solution: Added a script [7] to the CI that transforms the Protobuf files into a #MermaidJS class diagram, rendered directly on the docs site. [8]
6. Problem: The diagram was too narrow in the site's layout.
Solution: The script now generates a second, wide-format version of the diagram for a dedicated fullscreen view. [9]
7. Problem: The static diagram was hard to edit or restyle.
Solution: The CI now generates a shareable link to the Mermaid Live Editor [10]. It reads our latest diagram file, compresses it (using pako/zlib), and bakes it into the URL. Thanks to a code snippet from a friendly stranger on GitHub [11], anyone can now open the *latest* version of the schema in the editor with a single click.
From a static Excel file to version-controlled, multi-format, visual, and interactive documentation, all fully automated. That's the job.
#Automation #GitLab #Python #Protobuf #OpenData #Documentation
[1]: https://gitlab.vgiscience.de/casereports/rwlschema
[2]: https://docs.casereports.fdz.ioer.info/
[3]: https://lbsn.vgiscience.org
[4]: https://docs.casereports.fdz.ioer.info/protobuf/
[5]: https://gitlab.vgiscience.de/casereports/rwlschema/-/blob/main/resources/generate_schema.py?ref_type=heads
[6]: https://gitlab.vgiscience.de/casereports/rwlschema/-/blob/main/resources/generate_template.py?ref_type=heads
[7]: https://gitlab.vgiscience.de/casereports/rwlschema/-/blob/main/resources/generate_proto_uml.sh?ref_type=heads
[8]: https://docs.casereports.fdz.ioer.info/konzept/
[9]: https://docs.casereports.fdz.ioer.info/uml/fullscreen.html
[10]: https://mermaidlive.com/play
[11]: https://github.com/mermaid-js/mermaid-live-editor/discussions/1291#discussioncomment-6837936
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thenewoil (@thenewoil@mastodon.thenewoil.org)
#PyPI urges users to reset credentials after new #phishing attacks
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habr (@habr@zhub.link)
Модуль datetime в Python для начинающих с домашним заданием
Работа с датами и временем в Python — базовая задача, которая часто вызывает трудности у начинающих. В этой статье мы с нуля разберем встроенный модуль datetime, который элегантно решает большинство проблем. Вы научитесь получать текущее время, выполнять операции с датами, а главное — парсить строки и форматировать вывод с помощью strptime и strftime. Это пошаговое руководство для новичков, с практическим заданием на GitHub в конце.
https://habr.com/ru/articles/950914/
#python #datetime #python_для_начинающих #программирование #strptime #strftime
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hn50 (@hn50@social.lansky.name)
Show HN: The Little Notebook for Learning Linear Algebra with Python
Link: https://little-book-of.github.io/linear-algebra/books/en-US/lab.html
Discussion: https://news.ycombinator.com/item?id=45384617
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Python_Ireland (@Python_Ireland@mastodon.ie)
Have you seen our new venue for PyCon 2025 😍
Join us at the gorgeous O'Reilly Hall, University College Dublin on November 15-16th for 2 days of Python action!
Get your tickets now: https://python.ie/
#PyConIE #PythonIE #PyCon #Python
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pypodcats (@pypodcats@fosstodon.org)
Meet Una Galyeva, one of the Hidden Figures of Python.
With over 19 years of experience in Data and AI, Una Galyeva held various positions, from hands-on Data and AI development to leading Data and AI teams and departments.
As a driving force behind PyLadies Amsterdam, a Microsoft MVP, AI4ALL Advisory board member, and Head of Artificial Intelligence, Una is passionate about challenging perspectives and inspiring others to see things differently.
#Python #HiddenFiguresOfPython #podcast
🧶
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GripNews (@GripNews@mastodon.social)
🌘 線性代數入門手冊： the LAB
➤ 用 Python 和 NumPy 動手玩轉線性代數
✤ https://little-book-of.github.io/linear-algebra/books/en-US/lab.html
這是一本名為「the LAB：線性代數入門手冊」的書籍介紹。該書以互動式實驗室（LAB）的形式，引導讀者透過 Python 和 NumPy 學習線性代數的核心概念。內容涵蓋從向量、矩陣的基本運算，到線性系統、向量空間、線性轉換，再到行列式、特徵值、特徵向量，直至奇異值分解、主成分分析等進階應用。全書共十章，輔以實際案例，旨在提供一個循序漸進、動手實踐的學習路徑，讓讀者掌握線性代數的理論與計算技巧。
+ 這本書看起來很有趣，特別是能透過程式碼實際操作，這對我這種需要實際動手才能學好的人來說太棒了！
+ 內容很紮實，從基礎到進階都有涵蓋，而且結構清晰，應該是學習線性代數的絕佳資源。
#線性代數 #Python #NumPy #向量 #標量
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CuratedHackerNews (@CuratedHackerNews@mastodon.social)
Show HN: The Little Notebook for Learning Linear Algebra with Python
https://little-book-of.github.io/linear-algebra/books/en-US/lab.html
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h4ckernews (@h4ckernews@mastodon.social)
The Little Notebook for Learning Linear Algebra with Python
https://little-book-of.github.io/linear-algebra/books/en-US/lab.html
#HackerNews #LearningLinearAlgebra #Python #Notebook #Education #DataScience
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slubdresden (@slubdresden@openbiblio.social)
💻🥘 Die Welt braucht ein Kulinarik-Portal – und du kannst es mitgestalten!
Tausende internationale Kochbücher, Menükarten und weitere Kulinaria warten darauf, der Liebhaber- und der Forschungscommunity zugänglich gemacht zu werden.
Du beherrschst #Python, kennst dich mit Datenbanken aus und hast Lust, mit uns ein einzigartiges Kulinarik-Portal zu entwickeln? Dann bewirb dich jetzt!
Bewerbungsfrist: 26. Oktober 2025
Zur Stelle 👉 https://slubdd.de/pz
#bibliojobs #dh #digitalhumanities #xml
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habr (@habr@zhub.link)
[Перевод] Почему Python такой медленный? И вот что об этом думают эксперты
Команда Python for Devs подготовила перевод статьи о том, почему Python так медленный и что сообщество делает, чтобы это исправить. PyCon 2024 показал: Python ждут субинтерпретаторы, immortal objects, JIT-компиляция и другие технологии, которые могут ускорить его в разы.
https://habr.com/ru/articles/948858/
#python #производительность #gil #субинтерпретаторы #cython #jit #типизация #оптимизация #многопоточность #pycon
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djangonews (@djangonews@mastodon.social)
📰 Django News - django.tasks exists - Sep 26th 2025
https://django-news.com/issues/304
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