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I own two Raspberries 1, a Raspberry 4 8GB and a Raspberry 5 8GB. I wouldn't recommend the 4 as a full-fledged desktop replacement, but the 5 has been very smooth so far.
I'm currently using the latest Raspberry Pi OS Lite and installed KDE on top.
Posted by Natalia Bidart on May 7, 2024
![Django bugfix releases issued: 5.0.6 and 4.2.13](https://programming.dev/pictrs/image/b92f9082-1e82-4504-81b1-2957be418f1b.png?format=webp&thumbnail=256)
Posted by Sarah Boyce on May 6, 2024
![Django bugfix releases issued: 5.0.5 and 4.2.12](https://programming.dev/pictrs/image/21ecd1cd-eb0d-4dfe-8e49-fd60b2e9c53d.png?format=webp&thumbnail=256)
I was lucky then with the 4 A400 I'm still using. I also have 3 BX500 that have been very reliable.
Kingston A400s and Crucial BXs have been very good as cheap SSDs in my experience.
A VPN would be my first choice. ZeroTier works like a charm on the RPis. I've shared even SQLite databases over Samba over Zerotier among a bunch of RPis daily for a couple of years without a hitch.
via https://freeradical.zone/@loop0/112050005365112445
When deciding when to adopt a new major or minor Python or Django version, I prefer to wait until the 3rd or 4th patch release because reliability significantly improves. Python and Django {major}.{minor}.{patch>2} releases are always more stable than {patch<3} releases. Understanding Version Number...
via https://mastodon.social/@webology/112038739632429145
Posted by Mariusz Felisiak on March 4, 2024
![Django security releases issued: 5.0.3, 4.2.11, and 3.2.25](https://programming.dev/pictrs/image/e7635b7a-4ca2-45fb-b75e-f51367137aa3.png?format=webp&thumbnail=256)
6 different ways to see the SQL generated by Django.
via https://mamot.fr/@b0uh/112008964213028547
How to use Tailwind CSS with Django
via https://mastodon.social/@python_discussions/112007884021380487
I haven't used source-based distros, but I've installed Linux on a couple of older Macs. You will probably need to search for proper drivers for the Webcam and Wifi. Other than, you won't have any mayor problems.
My own example. I still have an ancient netbook lying around. It runs on an Intel Atom N270, which is only 32bit / i386. It came with Windows XP and I quickly switched to Mint, when it was still supporting 32bit.
I think the last Ubuntu release supporting i386 was 18.04 (around 2018) and all other distros started to drop i386 support after that.
AFAIK Debian is the only major distro still fully supporting i386. And a Debian based distro that still supports i386 is MX Linux. My ancient and crappy netbook is running MX Linux right now.
My 'weird' example. I have a Raspberry 5! It's ARM and very new. It runs its own distro, Raspberry Pi OS (Debian based), and Ubuntu does also fully support it. Right now if you try some other distro, it probably won't even boot unless you start tinkering a lot with it.
So Debian is definitively a choice for very old hardware. And the odd ARM SoC has usually at least some custom Ubuntu build that runs with it.
Mastodon is a Twitter-like social network with a solid Django community presence. It’s a fantastic online arena for connecting with others, discovering news, discussing issues, and sharing FOMO-inducing conference photos.
![Django: Join the community on Mastodon - Adam Johnson](https://programming.dev/pictrs/image/5cb1c869-66e8-4ef8-a356-a46ec78a3e05.jpeg?format=webp&thumbnail=256)
via https://fosstodon.org/@adamchainz/111909379907107148
A simple example of how to package a Python project when you don’t want to get overwhelmed by confusing options.
via https://hachyderm.io/@nedbat/111907682388334147
> Also used as source for https://djangofeeds.com/
via https://iosdev.space/@nemecek_f/111888921284149938
Here are some notes on how I like to write tests for a Django app that tests a model down to a view. Django Model + pytest Fixture This part is a mouthful, but I prefer to use the Model Bakery library to automatically create instances of Django models (aka a fixture) with good test data instead of m...
via https://mastodon.social/@webology/111882761328993606
Posted by Natalia Bidart on February 6, 2024
![Django security releases issued: 5.0.2, 4.2.10, and 3.2.24](https://programming.dev/pictrs/image/ecf40650-1b47-45b0-aba0-1b550f52117a.png?format=webp&thumbnail=256)
An opinionated list of Django third-party packages that I use to add more features to any Django web project.
![20 Django Packages That I Use in Every Project](https://programming.dev/pictrs/image/f192fec3-c5d7-476a-8cf4-d8fc345d9485.png?format=webp&thumbnail=256)
> A perennial topic but here’s my list of 20 Django third-party packages I use in almost every project.
via https://fosstodon.org/@wsvincent/111877436564729345
A little bookmarklet that redirects you from the current page to the same path on http://localhost:8000/. Helpful when debugging Django.
![Django Debugging Bookmarklet Trick](https://programming.dev/pictrs/image/5a49beb9-b579-457e-901b-68d0af270bfe.png?format=webp&thumbnail=256)
via https://frankwiles.social/@frank/111846065845176197
A curated list of awesome things related to building with Django "at scale". - GitHub - sakhawy/awesome-django-scale: A curated list of awesome things related to building with Django &quo...
![GitHub - sakhawy/awesome-django-scale: A curated list of awesome things related to building with Django "at scale".](https://programming.dev/pictrs/image/31c122b6-9793-4b87-8a23-ea0def392fb5.png?format=webp&thumbnail=256)
via https://indieweb.social/@djangonaut/111816389400105908
An Experimental Package Management Solution for Python - GitHub - mitsuhiko/rye: An Experimental Package Management Solution for Python
![GitHub - mitsuhiko/rye: An Experimental Package Management Solution for Python](https://programming.dev/pictrs/image/64caf82c-551f-4b28-8c0f-1b4d5316c8aa.png?format=webp&thumbnail=256)
> Big update to rye is out: 0.18.0. Lots of bug fixes, lock files with source references for better docker support, global Python shims now pick up .python-version, automatic venv recreation on move. https://github.com/mitsuhiko/rye/discussions/544
via https://hachyderm.io/@mitsuhiko/111790331145932934
Steps for building a micro-Heroku in under 30 minutes.
Good idea! But the borders don't look good with a darker background. I'm seeing this right now: https://0x0.st/H0JJ.png
django-tui 23.9 adds an interactive shell for running django ORM queries: https://fosstodon.org/@anze3db/111608276020943202
TalkPython episode about Memray: https://talkpython.fm/episodes/show/425/memray-the-endgame-python-memory-profiler
Part 2, PostgreSQL: https://www.paulox.net/2023/11/24/database-generated-columns-part-2-django-and-postgresql/
Part 3, GeoDjango & PostGIS: https://www.paulox.net/2023/12/11/database-generated-columns-part-3-geodjango-and-postgis/
PyQT / PySide are huge, but they have been very good in my experience coding cross platform desktop programs. macOS, Windows and Linux (even on ARM) are very well supported.
I use VSCode for coding, but if it's a small script or pure text files, then I use Geany.
I've been following this project for a while and it's great. They are just not great at promoting it.
I was also a Pro user and I'd gladly pay again for a Pro version.
Ultra was too much for me on Reddit and here it's the same.
Thanks!
Easiest solution, use the Jellyfin client on your phone and use that to stream to your Chromecast.
If you want to use just your PC, then you need to be able to access your Jellyfin over HTTPS. Search a bit and you'll find tutorials for this, but you'll have some work ahead of you. Doing all this through your smartphone is much easier.
I've used Linux since the mid 90s, but I switched to Linux as my desktop daily driver just 2 years ago and I went with Manjaro. I was prepared to switch to a pure Arch setup, but I'm still vary happy with Manjaro. I use AUR, but only very few packages.
I'm having a similar experience. Almost all developers (mostly Python/Django) I was following on Twitter are on Mastodon and being able to follow hashtags is great. The servers are stable and I kept the very first android client I tried (Tusky).