What's better: VS code or JupyterLab?

@qgis 3.42 has landed in #condaforge

https://anaconda.org/conda-forge/qgis

My favorite way to install #QGIS

good grief, we broke our #ai #alttext script. for a while we were running the latest #pixtral #vision #model however we wanted to try #Microsoft #PHi4 #vision model however we use #conda for our python virtualization management.

this is a huge mistake #lol #tech #aidev #thestruggle

i need a #venv for both pixtral and phi4 in one scripts run time.

suggestions anyone to work this mess?

#python #development #fail

obviously we are running with the phi4v model however we were testing across all the accounts when we realized we broke the production scripts.

same login, supposedly different virtual environments.

blah. perhaps this is what #uv is meant to fix?

Not really sure, I guess I could talk to #ChatGPT about it lol

NVIDIA's RAPIDS has turbocharged their @NVIDIA CUDA enabled package building by moving from conda-build to rattler-build, unlocking incredible speedups.

Source: https://github.com/rapidsai/build-planning/issues/47#issuecomment-2695583003

#VSCode #python #docx #pipinstall #conda #beautifulsoup #bs4

https://thingsitried.com/2025/03/01/little-bit-of-automation-for-my-leads/

Watch Wolf explain the open CEPs we've written to advance the Conda ecosystem even further!

Livestream recording: https://www.youtube.com/live/zxquAgNyIok?t=58s

Tip: Use the chapters to find the CEP you're interested in!

We're looking to extend our team with a Senior Rust Engineer

Do you want to leave a lasting mark on the open source ecosystem by building awesome tools for other developers?

Apply here: https://apply.workable.com/j/12939AB951

I think it's quite problematic on #Linux to start off with regular ol' #Python that came with the system (i.e. /usr/bin/python), and then as you go installing some packages (i.e. on the #AUR if you're on #ArchLinux) which will then install some Python libraries using it, and then you start using something like #Conda or #Miniconda whereby subsequent package installations or updates may be installing these libraries on the Conda environment (i.e. ~/miniconda3/python) and not the system, so there's some overlap there or so? I'm wondering what's the best way of moving forward from this point - esp since sometime ago, it's no longer possible to raw pip install <package> anymore for wtv reason.

I know we like to act like space is completely free these days, but maybe we take that too far.

"Hm, I think I should -v this one tar invocation, just to see what I'm actually backing up from my homedir."

"Sure! Here's your .python directory, containing thousands of files supporting python libraries. And your .local/python directory, containing thousands of files supporting python libraries. Oh, and your .conda directory, never guess what's in there..."

"I get it."

"Do you want to know what's in your .pyenv director~"

"I. Get. It."

(ETA: 1.2GB at the end. Though most of that is just .pyenv; the others are much smaller).

As part of a submission to @joss I had to explore using #conda to build #software for the first time.

I have always been reticent to use it (I like pip for python, and much of my work is on #HPC where environment modules are king.

I wrote a short post reflecting on what I learnt and my new opinions on conda: https://jackatkinson.net/post/pondering_conda/

第850回　UbuntuにおけるシステムPythonと、Pythonの仮想環境を使い分ける方法
https://gihyo.jp/admin/serial/01/ubuntu-recipe/0850?utm_source=feed

Building dependencies with conda: where one missing package sends you down a rabbit hole of environment.yaml tweaks, dependency conflicts, and obscure Stack Overflow threads. At least it's character-building... right? #Python #Conda

Troubleshooting Python Virtual Environment Errors on Windows 11. Common causes include PATH variable issues, environment creation inconsistencies, and permission problems. Learn how to resolve these errors and improve your workflow using advanced techniques & tools like virtualenvwrapper or conda. #PythonVirtualEnvironmentError #Windows11 #Virtualenv #Conda #PythonError #Programming
https://tech-champion.com/microsoft-windows/troubleshooting-python-virtual-environment-activation-errors-on-windows-11

The Python tools for the Polylith Architecture now has support for the Pixi package management tool, thanks to a contribution from the Community!

https://github.com/DavidVujic/python-polylith/discussions/325

Switch to conda-forge or even better start using #pixi https://pixi.sh/latest/basic_usage/
Anaconda Inc requested research institute where I work to pay for corporate license because researchers are using #anaconda in their daily work. In effect the institute will block access repo.anaconda.com.
I have to say I haven't seen it coming 10+ years ago when I started to use #conda.
#enshittification

What parts of #guix are used when it's hosted?

Survey found:

It's used on top of their #GNU #Linux distro by a third of users

- 50% for package management - same need as #homebrew #conda or #nix usage.

- 41% #dev environments (like #pip or #docker). Super interesting! Lots of comments from users looking for #Nix flakes features

- 28% package their own software.

- 17% for #dotfiles and home environment management. Seems like an opportunity to attract users!?

https://guix.gnu.org/en/blog/2025/guix-user-and-contributor-survey-2024-the-results-part-2/

After programming a good 2 months in #python finally found the tool #poetry which is quite similar to how #nodejs bundles libraries into a directory either locally or globally in the cache directory.

I have tried the other tools from #pyenv to #venv and/or #virtualenv. Where I thought they were used to deal with library dependency management only to realize that they are more like #nvm.

I did use #conda for some time, though preferred a python only solution. I do realize that poetry won't resolve all issues and might need to look into to containerization later on, though for the time period it looks like a good solution.

I am turning slowly into someone who kind of likes #VSCode or its derivatives such as #VSCodium or #OSSCode. Maybe my #SpyderIDE days are over if I can get a similar IPython console and variable explorer set up easily.

Somehow, after multiple attempts over the years, I've managed to get my #conda environments to play nicely with the IDE.

Well, after hours fighting to get #python + #quarto + #conda working on an HPC server, I decided to give up and try the path of least resistance that is the jupyter notebook environment provided by the IT people.

Now I'm learning that not only #jupyter notebooks suck themselves, but the jupyter IDE is... kind of bad? Setting the correct wd is a PITA, the file explorer is terrible, horizontal scrollbars hide code, no variable inspector?