this post was submitted on 30 Sep 2024
35 points (83.0% liked)
Python
6467 readers
16 users here now
Welcome to the Python community on the programming.dev Lemmy instance!
π Events
Past
November 2023
- PyCon Ireland 2023, 11-12th
- PyData Tel Aviv 2023 14th
October 2023
- PyConES Canarias 2023, 6-8th
- DjangoCon US 2023, 16-20th (!django π¬)
July 2023
- PyDelhi Meetup, 2nd
- PyCon Israel, 4-5th
- DFW Pythoneers, 6th
- Django Girls Abraka, 6-7th
- SciPy 2023 10-16th, Austin
- IndyPy, 11th
- Leipzig Python User Group, 11th
- Austin Python, 12th
- EuroPython 2023, 17-23rd
- Austin Python: Evening of Coding, 18th
- PyHEP.dev 2023 - "Python in HEP" Developer's Workshop, 25th
August 2023
- PyLadies Dublin, 15th
- EuroSciPy 2023, 14-18th
September 2023
- PyData Amsterdam, 14-16th
- PyCon UK, 22nd - 25th
π Python project:
- Python
- Documentation
- News & Blog
- Python Planet blog aggregator
π Python Community:
- #python IRC for general questions
- #python-dev IRC for CPython developers
- PySlackers Slack channel
- Python Discord server
- Python Weekly newsletters
- Mailing lists
- Forum
β¨ Python Ecosystem:
π Fediverse
Communities
- #python on Mastodon
- c/django on programming.dev
- c/pythorhead on lemmy.dbzer0.com
Projects
- PythΓΆrhead: a Python library for interacting with Lemmy
- Plemmy: a Python package for accessing the Lemmy API
- pylemmy pylemmy enables simple access to Lemmy's API with Python
- mastodon.py, a Python wrapper for the Mastodon API
Feeds
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
In my field we rely on conda and I hate it every day.
Why, out of curiosity?
We do geodata science and rely on some pretty specific C++ libraries that are only distributed via conda. While on unix-based systems it's possible to get some of them from other channels or even building them from source, we mostly have Windows machines in production where we are not that flexible. Docker is unfortunately no solution due to security concerns.
If you are asking why I hate it: It's bloated, uses more space than needed and it's rare I can reproduce an environment from the environment file without running into errors. Using it feels unintuitive, I still google command after years. It was very slow until recently, when the libmamba solver was finally integrated. Last but not least licensing is a pain in the ass.
Interesting. We use conda via micromamba for my own project, as it makes the install for end-users much easier when they can just run a shell script, to install python, cuda, and all the dependencies needed.
I share the same frustration trying to replicate an environment. I'm glad I can avoid it these days, the community needs a way out of the conda lock-in.
I've been using micromamba/mamba and not had solving issues like I did with conda. Im glad conda integrated libmamba.
Question: why were docker containers deemed security risks?
If Windows, it requires a VM and currently infosec is not keen on virtualization in the hands of users.
I'm no expert, but isn't running in a VM strictly better than running on raw metal from a security perspective? It's generally more locked down, and breaking out of the virtualization layer requires a separate security breach from gaining access to the running container.
I would think so as well. Possibly it's because a local VM is harder for them to monitor.
Yes, mamba is a huge improvement. Regarding docker I can't really tell you as I'm not an infrastructure guy.