The new king on the block: uv
. It can do everything poetry
does, while also using a standard pyproject.toml
(no more weird ^
), and it'll handle the Python version for you, so no faffing about with manually installing anything. Just uv sync
and off you go!
Downside: not compatible with virtualenvwrapper, as it'll force its .venv in the local folder.
It's also still under heavy development and breaking changes are still expected, but it's already super nice to use.
Same guys (Astral) also made ruff
the formatter/linter that they intend to eventually integrate into uv
, IIRC.
I'm running all my personal projects under uv
and am having a blast. It's so fast.
Sucks to be you, but virtual envs are THE way to keep everything running on your own machine. You can try to keep everything in a single venv, but then you'll start wondering why it doesn't work on other's machines.
sqlite3
module comes with Python. As does thejson
module. Usepathlib
'sPath
object overos.whatever
because the API is nicer to work with.abc
(short for Abstract Base Class - abc, get it?) is useful for inheritance stuff. I like click, but there'sargparse
if you need to write a CLI. Stay away fromasyncio
if you can - it's usually not faster and a bigger PITA than it needs to be. Need to transport a binary, but you can only send text?base64
.import datetime as dt
if your new friend when it comes to datetime objects - to be aware to keep things timezone-native. You'll need pytz for that - Python doesn't update fast enough to keep up to date with all the new timezone shenanigants. always check for missing timezones; they'll cap your kneecaps and kick you in the balls if you're not careful.http
can be used to make calls to APIs though requests is a favorite; slapurllib3
and you got yourself a sauce going on! Skiplogging
and jump to a lib that supports structured logging,python-json-logger
is a nice beginner's log lib, jump tostructlog
if you need the raw power (say you want control over other people's logging output).math
is a sleeper hit - powers, roots, floors, ceitings, andstatistics
is a nice addition on top of that together withrandom
for probabilistic stuff.multiprocessing
if you need to run something concurrently:ProcessPoolExecutor
for IO, ThreadPoolExecutor for CPU bound stuff (IIRC).re
for regex related stuff.uuid
if you need a unique identifier (this can be slow in DBs, so take care!)PyPI (Python Packaging Index) if your new friend - pai-pee-ai; not paipai - that's the JIT implementation of Python: pypy.
Use
pytest
to run your tests,ruff
for formatting (though I imagine it intimidating for beginners, better to bite the bullet (even if you nibble on it slowly),uv
to track your dependencies and Python version.Yes, figuring out a nice configuration for these tools is a pain, but that's what ChatGPT is for. Just don't go too wild on the settings, as there are MANY, and if something doesn't work because ChatGPT got a little outdated, it'll hurt.
Anyway, that's about 4 years of experience concentrated in a single page. If you ever feel like an imposter: that's a common feeling: https://en.wikipedia.org/wiki/Impostor_syndrome If it's hitting you on the head, see if you can talk with your seniors about it (presuming they're sane adults) - otherwise there's always Lemmy to vent :P .
edit: if you need to handle tabular data: Polars. If anyone recommends Pandas over Polars, hit them with a newspaper until they crawl back under the rock they came from. Unless it's for GeoPandas, then it's OK.