xameer (@xameer@mathstodon.xyz)
Content warning:disagree
Regarding #Rust vs #Python, I’d favor Python for a small tool like this. nixos-rebuild wouldn’t benefit from Rust’s low level capabilities or its extra capable type system; in fact, those may slow most contributors down.
If we have an overriding reason to switch to Rust, that can be done later. I’m not opposed to “converge on Rust” but “convergence” should’t be the only reason.
I don’t think anyone is disagreeing about Python being good for this btw. :rocket:
#nixos
https://discourse.nixos.org/t/nixos-rebuild-ng-a-nixos-rebuild-rewrite/55606/10
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wigging (@wigging@fosstodon.org)
HTTPX is a nice Python HTTP client. Here is a comparison of HTTPX synchronous and asynchronous clients.
https://gavinw.me/notes/python/httpx-sync-async.html
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webology (@webology@mastodon.social)
📅 **Jeff’s Friday Office Hours** are back this week.
🗓 **Friday, December 19, 2025**
⏰ **2:30 PM Central (US & Canada)**
🔗 Time zone friendly link: [https://time.is/0230PM_19_December_2025_in_CT?Jeff%27s_Office_Hours](https://time.is/0230PM_19_December_2025_in_CT?Jeff%27s_Office_Hours)
Open Zoom office hours to hang out, work on projects, chat open source, or just enjoy some company to wrap up the week. Holiday vibes encouraged 🎄☕
Everyone welcome. No pitches, no bots, just humans.
#Django #Python #OpenSource #RemoteWork
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devto_vn_bot (@devto_vn_bot@mastodon.maobui.com)
Go vs Python trên AWS Lambda: dùng Terraform triển khai, Go (provided.al2023) cho cold‑start nhanh ~2×, latency 1.4‑1.7× so với Python3.12, chi phí giảm tới $76/triệu gọi. Chọn Go khi workload CPU‑nặng, yêu cầu latency ổn định; Python thích hợp cho glue code, iterating nhanh và thư viện phong phú. #AWS #Lambda #Go #Python #Terraform #DevOps #Cloud #Performance #việtnam
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leanpub (@leanpub@mastodon.social)
Mastering Modern Time Series Forecasting by Valery Manokhin is on sale on Leanpub! Its suggested price is $70.00; get it for $48.71 with this coupon: https://leanpub.com/sh/1Zpz2z5h #ComputerScience #MachineLearning #Mathematics #Python #DataScience #DeepLearning #Education
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content (@content@socialhome.network)
Hitting the Home Stretch: Help Us Reach the Django Software Foundation's Year-End Goal!
As we wrap up another strong year for the Django community, we wanted to share an update and a thank you. This year, we raised our fundraising goal from $200,000 to $300,000, and we are excited to say we are now over 88% of the way there. That puts us firmly in the home stretch, and a little more support will help us close the gap and reach 100%.
So why the higher goal this year? We expanded the Django Fellows program to include a third Fellow. In August, we welcomed Jacob Tyler Walls as our newest Django Fellow. That extra capacity gives the team more flexibility and resilience, whether someone is taking parental leave, time off around holidays, or stepping away briefly for other reasons. It also makes it easier for Fellows to attend more Django events and stay connected with the community, all while keeping the project running smoothly without putting too much pressure on any one person.
We are also preparing to raise funds for an executive director role early next year. That work is coming soon, but right now, the priority is finishing this year strong.
We want to say a sincere thank you to our existing sponsors and to everyone who has donated so far. Your support directly funds stable Django releases, security work, community programs, and the long-term health of the framework. If you or your organization have end-of-year matching funds or a giving program, this is a great moment to put them to use and help push us past the finish line.
If you would like to help us reach that final stretch, you can find all the details on our fundraising page
Other ways to support Django:
- Benevity Workplace Giving Program: If your employer participates, you can make donations to the DSF via payroll deduction.
- Sponsor Django via GitHub Sponsors: Support Django directly through GitHub's sponsorship platform.
- Official Merch Store: Buy official t-shirts, accessories, and more to support Django.
Thank you for helping support Django and the people who make it possible. We are incredibly grateful for this community and everything you do to keep Django strong.
https://www.djangoproject.com/weblog/2025/dec/18/hitting-the-home-stretch-help-us-reach-the-django/
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villares (@villares@pynews.com.br)
Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_12_18
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work:
https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding
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PythonPeak (@PythonPeak@mastodon.social)
Python Advanced List Comprehensions With Multiple Conditi
Complex list comprehension example
#python #programming #tutorial #coding #advanced #list #comprehensions
https://www.youtube.com/watch?v=pv5ZbFvn-nU
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djangonaut (@djangonaut@indieweb.social)
🚀 Space Reviewers 👾 Episode 8 is streaming now! Follow along at:
https://studio.youtube.com/video/aEUNxwqWn4Q
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hubsite365 (@hubsite365@techhub.social)
🟦 Tool calling in LLMs with Python — Microsoft Foundry 🔹
Andrew Hess demos a pro-code pattern: let the model request a function, execute it in Python, and return the real-world result (weather example). This keeps tool use explicit and execution under developer control.
💡 • Model decides when to call a tool; Python runs the call and feeds back results
🔍 • Uses Foundry/Azure SDK flows: define tools, pass to agents, handle tool_call IDs
⚖️ • Outcome: predictable, secure integrations with RAG and managed compute
Watch the walkthrough and grab the examples from the repo. 🚀
#MicrosoftFoundry #LLM #Python #AIDevelopment
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CuratedHackerNews (@CuratedHackerNews@mastodon.social)
How I wrote JustHTML, a Python-based HTML5 parser, using coding agents
https://friendlybit.com/python/writing-justhtml-with-coding-agents/
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tho (@tho@rheinneckar.social)
Heute zwei Tierbücher gekauft.
Ein Standardwerk über Pinguine und eine Einführung in Schlangenflüsterer. 😉
Die Feiertage können kommen.
Natürlich schon die ersten Seiten durch. Lässt sich sehr schön lesen. Da lernt man auch als langjähriger Nutzer noch was.
https://kofler.info/buecher/linux/
https://kofler.info/buecher/python/
#kofler #linux #python #endof10 #unplugtrump
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