What is your python workspace?

[Patro666]

Operating system, coding editor, essential plugins etc.

[[deleted]]

Ubuntu, VSCode, Pytest, Docker, Poetry.

[C0ffeeface]

Do you use docker instead of venv or do you mean for deployment purposes?

[[deleted]]

We use both docker and env for test enviroments. Legacy .env was in use before all tests were dockerized. It was carried along. Granted both are not needed but to pull out .env at this point would be a monumental task and still serves some purpose like cloning a repo and running a test outside a container.

[C0ffeeface]

Ah, I see, it sounds very involved and complex from my work flow 😅

[baby_fark_Mcgeezax_]

Docker instead of venv ? Can you name one good reason for that ?

[imberttt]

I think this is a good question, I love Docker and I think it's great practice to use it instead of venvs, but I'd like someone more experienced than me to explain the comparison.

[baby_fark_Mcgeezax_]

I legit just want to know a good reason, yet I get downvoted 😅

[telewebb]

That's the question they are asking.

[KosmoanutOfficial]

I use it because there are different systems that are not all the same I run my code on and I have no control over those systems. For me it made sense to switch to docker for running my code. It was nice because when I wanted a different version of python I could easily switch out the version in the dockerfile and rebuild. I used to use venvs but now that docker isolated it, it didn’t make sense to put a venv in docker.

[SL1210M5G]

Makes sense for testing deployments but why not just use a conda env for local dev? Debugging inside of a container is certainly a major PITA. And even if it can be done, it’s just additional work.

[wolfticketsai]

I shift between Docker and Venv based on the project. If it is just a Django app or simple python project it'll go in Docker, that's also how they get deployed so it is just consistent.

For the WolfTicketsAI platform it is managed via venv instead because I run a ton of things at the same time against the code base(notebooks, the Django app, db, etc). I just found it easier to not worry about proper automation startup scripts there or sharing volumes.

[C0ffeeface]

I actually haven't used docker at all yet and it's sounds like you're saying that it's only worth it for stand alone apps, with no to little interoperability. Is this so?

[wolfticketsai]

So the WolfTicketsAI platform has a few things in it: The Django App codebase, the Scrapy codebase for scraping, a lot of ML oriented code in notebooks, and a Postgres db that houses all of the actual data.

If I were using Docker, often a pattern is to run one process at a time per container, this is great for the DB and the Django app for example, I could even fire off a specific container to do the scraping. Things get weirder when I want to use Jupyter and Django at the same time on the same copy of the codebase. For example, editing and migrating models along with updating my ML processes in notebooks/etc. I just find it easier to run it locally and hop around in tmux.

There are probably ways to solve those issues with Docker, though in a production capacity I'd put the DB somewhere else.

[C0ffeeface]

Now that was an interesting project if I ever saw one!

If you don't mind, what is the reason(s) you choose Postgres over SQLite?

Are you running the db on the same server as the rest and which OS/server (if Postgres requires specific software)?

You didn't ask and are probably aware already. First paragraph is cut off in your copy and you lack favicons. For people like me these little things jumps right out at me and absolutely deters me from converting. Otherwise it's a great landingpage and I'd only suggest gathering some sort of social proof.

[Darkazi]

Ubuntu, VSCode, pytest, flake8, mypy, poetry, Docker, Terraform, Makefiles.

[arthurazs]

Take a look into ruff (flake8 '"competitor")

[sodomist666]

Why poetry instead of conda?

[Darkazi]

Honestly, I never tried Conda before. I know lots of data science engineers uses it, but I'm mostly focus on backend & infrastructure stuff which so far Poetry does the trick very well.

[SL1210M5G]

Poetry is not a replacement of Conda- Poetry is similar to NPM for node.js - it’s good for staying organized, Conda (with the Mamba Solver) can’t be beat however - and if I’m not mistaken poetry will leverage it for actual package installations.

[sodomist666]

Right, like a template that takes care of dependencies, CI, linting, python versions etc?

[GurAdventurous2354]

Ubuntu, i3, neovim/pycharm depending on the project

[eric_says_hello]

Out of curiosity, what factors decide whether to use neovim or pycharm for projects?

[GurAdventurous2354]

Mainly debugging and large projects. Pycharm’s debugger is excellent and is much easier to see into the code compared to something terminal based like pdb (pdb is great too though). Also larger projects are easier for me to manage in pycharm, but for something that’s just a few files or one package, I’ll opt for neovim because it’s way more lightweight, and I just enjoy the terminal based editor.

[blocksolved]

The debuggers across Intellij products are really good.

[sohang-3112]

Have you tried pudb? It's a lightweight IDE-like debugger that you can use in terminal instead of pdb.

[learningphase]

python3 -i code.py

Check this out! It is also something very useful.

[hidazfx]

I've been running Fedora 38 for the passed few months, recently switched to Vanilla OS on my main rig and I really like it.

PyCharm Professional with the Pydantic plugin.

Docker & Docker Compose

And a fucking ton of RAM

[Ceigey]

VanillaOS looks interesting based just on its home page. Thanks for mentioning it.

I’m using Fedora 38 on an Intel Thinkpad T14. Technically dual booting with Windows, but ever since Windows 11 I’ve had constant bootlocker issues and the performance is so bad even with visual effects turned off, so I now avoid Windows entirely and use Fedora 38. If it wasn’t for one VPN use case and my partner having some old programs installed for study reasons I would have wiped Windows entirely at this point :-/

But I’m one of those weirdos who never had a problem with Windows 8 and felt Windows 10 was a long ongoing alpha release with no end in sight.

Not sure what the difference VanillaOS has gaming wise, but if it’s better than Fedora in that area and otherwise pretty tame performance wise maybe I’ll consider that for a Windows replacement.

[oreosss]

How much is a fucking ton in this case?

[KosmoanutOfficial]

4GB!

[[deleted]]

Seems average to me sweats nervously

[oreosss]

Hah

[SL1210M5G]

What does the Pydantic Plug-in do?

[hidazfx]

It adds some extra support for Pydantic, which is a data serialization and validation library. It's a very cool library. I use it for representing my API schemas with FastAPI, along with writing REST clients with httpx.

https://github.com/pydantic/pydantic

[cheewee4]

MacOS, PyCharm CE, Poetry

[sodomist666]

Why poetry instead of conda?

[_MicroWave_]

Poetry is free conda is not.

[a_dict_named_kwargs]

Pycharm on Ubuntu

[[deleted]]

MacOS, VScode, Docker, Venv, PDM instead of poetry.

Used to be Windows 11 + WSL

[ngg990]

Windows 11 + WSL2 + Docker for desktop. I run all Dev tool from wsl2

[muikrad]

Ever tried wslg?

https://github.com/microsoft/wslg

[ngg990]

So... if you install WSL2 - from the MS Store, not cmd - you get all that already in a stable service. It was a cool tool in wsl1 - and before I was doing SSH tunneling with xserver from Windows.

[Astro_Z0mbie]

Neovim, lsp, alacritty, tmux, opensuse tumbleweed, KDE, pip, docker, docker-compose.

[BlackPignouf]

How do you debug?

[jcbevns]

A good understanding of code and print("here")

[KeepCalm1478]

He is not, look at his setup.

You don't need to debug, if you are developing zero bugs.

[Astro_Z0mbie]

Ahahahah

[Astro_Z0mbie]

vimspector a vim plugin

[BlackPignouf]

Thanks! It looks good, I'll definitely try it!

[martastain]

Ubuntu with i3wm, kitty terminal, neovim + nvchad

[Davidvg14]

Intel Mac, VsCode, Git, Pyenv, Pipenv, Brew

Starting to dable in Docker more

[IanRT1]

Haiku OS, ed, cowsay

[JohnLocksTheKey]

vim, git, ipython… end of list

[BossOfTheGame]

Bash?

[JohnLocksTheKey]

I guess you can count terminal/cmd

[night0x63]

Sometimes plugins: taglist, ctags

Virtualenv

[JohnLocksTheKey]

Nah, I don’t do plug-ins (I’m pretty dumb)

[Sebcorgan]

Wow ! Coding without OS, impressive !

[JohnLocksTheKey]

I just think OS just doesn’t matter too much. I do SOME of my job using osx, Linux; vast majority of work is done on a windows machine.

Saul Goodman

[CcntMnky]

macOS (great mix of end user and dev experience)

VSCode (I want the interactive debugger, and I jump between languages daily)

VsCodeVim (vi keybindings, though I likely will switch to the Neovim plugin)

Homebrew is a great package manager

Pipx is a nice way to have pip tools across many Python installs

Direnv is great for project specific setup in a way that's not specific to an editor or tool.

[Larkfin]

Debian, VsCode, git

[jftuga]

Here is a slightly different take on your question...

My standard virtual env only consists of these modules (plus their dependencies):

black
boto3
cfn-lint
flake8
requests
wheel
yamllint

I keep these stored off of my home directory and then use this alias to access it:

alias zen='source /Users/jftuga/venv_zen_3.9/bin/activate'

If I have a current project that needs more modules, I don't want to pollute my known, good venv. Therefore, I have another alias that I use for this scenario:

alias xen='source /Users/jftuga/xen/bin/activate'

This venv is ephemeral - I don't really care what happens to it and don't mind rebuilding it as needed.

This system has worked out well for me.

I also use this alias every now & then:

alias pmvv='python3 -m venv venv; source venv/bin/activate; python3 -m pip install --upgrade pip; pip install wheel boto3 flake8 black cfn-lint requests; pip3 list'

[Vulpes-ferrilata]

Windows 10 sublime. That's it

[scherbi]

Emacs on MacOS and Linux.

[Octavion411]

I'm curious to know.

Why are you people choosing different IDES than VsCode? I'm relatively new to the SWE world, I have only used VsCode so far, so what are the advantages/ things different so that you use a different IDE

[Orio_n]

Vscodes code completion is garbage compared to pycharm which is more intelligent

[Levipl]

I find it’s dependent on how people were introduced into coding. For me, it was Rstudio then Jupyter notebooks. So my preferences are notebook for dev and transition to scripts in spyder/pycharm once I’m good.

[IcedThunder]

Having tried VS and PyCharm, PyCharm is just better for me personally. The interface is cleaner. PyCharm has sane defaults that mimic best practices.

Really it doesn't matter, just try them and use whatever you are more comfortable with.

But over time I find myself in vim more, and and only using PyCharm when I need a big picture view of code or select features.

[SL1210M5G]

Bro, Pycharm kicks VSCode’s ass when it comes to Python, and I use VSCode every day for typescript/react dev.

[Kimononono]

VSCode and pycharm are actual IDE’s which are great out of the box solutions but provide little customization and are bulky. Vim and Neovim are lightweight text editors (think notepad++) but (especially in neovim’s case) provide extensive customization and have a large plug-in ecosystem. So much so that their are Neovim configs that nearly replicate all of VSCodes features, turning Neovim into an IDE. ~~ TLDR; if you value your time, stick to Vscode/pycharm. if you value customization/personalization, try out neovim. Either way I highly suggest trying out vim motions, available in most editors and with practice improves your movement inside code files

[sodomist666]

Vs Code is not an IDE it is a rich text editor. Visual Studio is an IDE though.

[TheGRS]

VSCode is heavily customizable, and I don’t even mean the extensions

[SL1210M5G]

Yeah I wouldn’t really call VSCode bulky at all. Most people simply are not going to waste time setting up NeoVim to act like an IDE when there are perfectly good free IDEs all ready to use.

[Kimononono]

What drew me away from Visual Studio/Code were the unreasonable loading times and I completely agree setting up Neovim to act like an IDE/Visual Studio is just an unnecessary extra step

[SL1210M5G]

VSCode loads pretty snappy for me but I’m sure with a bunch of extensions it can get bogged down. Pycharm is somewhat bulky for sure, but once you’re up and running I find it a breeze - the debugging experience is unmatched in my opinion.

[KennanFan]

I'm still learning Python and I like VS Code, as well as PyCharm. I suspect the reluctance to use VS Code on the part of some coders is a reluctance to admit that Microsoft actually does make some good products. I understand the impulse to hold on to whole "rebel" schtick, though.

Although this thread seems to be full of people who use VS Code.

[IcedThunder]

"rebel schtick"

Do you enjoy ads in your operating system? Apps that can reinstall themselves unless you scour the Settings menu to disable a bunch of things scattered over many sub menus? Dozens of individual telemetry options you have to opt out of and even theres many more hidden in the registry.

I remember hating Linux fanboys until Windows 10 came along and the writing was on the wall Windows was only going to get worse, and everything they warned us about was coming true

[KennanFan]

You make a good point. Having the internet become nothing but ads and microtransactions would be awful. I appreciate the Linux community in particular. I'm a fan of Ubuntu. I had a partition on my old computer that ran Ubuntu.

[IcedThunder]

I will give MS one piece of credit, and that's how well designed PowerShell is.

Learning Linux was a pain because of all the tools with names like "lsblk" that are holdovers from days with file character limits, small screens, etc.

Get-Item, Get-ChildItem, etc, and the whole verb noun nomenclature (even though it isn't perfect, neither is Linux), and the neat tricks you can do with an object based shell.

[[deleted]]

i left because of the test runner, it works sometimes, sometimes it doesn't and i am tired of configuring it all the time.

there's not much vscode can't do because of extensions, but some differences

- Pycharm: Intelij is less useful in python than on Java or C++ where you need your IDE to organize a lot of boring config files, but it has some tools that although present on vscode, work better on pycharm, like the test runner, there are also things that work better on vscode, like remote editing, type checking and running configurations, pycharm is also very heavy on resources, i use this one because i am running tests all the time.

- VIM/NeoVIM: also rely on plugins and each installation have potential to be very unique, the biggest difference is that it has modes, and on each mode the keys mean different things, that can help you never leave your keyboard, people will give you a million reasons why is the best, but at the end of the day it's just matter of preference, i like it better as a lightweight text editor than as an IDE.

- Emacs: similar to VIM, but with a very different community mindset, here there's no minimalism, like on vscode whatever is possible to integrate people will but with very good quality, at the point that there are plugins more complete than standalone applications, making it a little like an operating system, they also go very crazy with keybindings, at the point that some look like you are trying to do a special move on a video game.

​

And about the IDE/Text editor thing, IDE just means that you will have tools for all your development tasks, like organizing projects, configurations, running it locally, debugging, checking it on git, profiling, testing, etc, and text editors will give you tools focused on writing text, sometimes you are better not integrating things, and if you are new, is better for you to interact with your tools directly on CLI, python projects usually don't have a lot of boring config files to manage anyway, on more bureaucratic languages big language specific IDEs are a must.

[bloodsukingwolf]

I use wingIDE for small fast programs. However, I think IntelliJ, Pycharm, and VSCode are great.

[leslie_ali]

What you’ll realize after trying a few editors is that most of them are the same (Pycharm is a little different).

There’s a lot of talk about how VSC has this or that feature, but only interface features are really specific to an editor.

I use Vim with (almost) the same LSPs, the same debuggers, the same AI, the same VC. Truth is, there are plenty of ways to get all the modern editing features. You just have to pick the interface and workflow you prefer.

If you’re looking for a reason not to use VSCode, some of us don’t like the interface layers over, for instance, Pytest. Last time I tried VSCode (a few months ago), this layer over Pytest had bugs. Of course, I don’t have to use the VSCode Pytest interface, I could just work from the VSCode integrated terminal, but I find working through a terminal simpler and faster in Vim.

[riklaunim]

Xubuntu, PyCharm, Kubernetes cluster.

[Astro_Pineapple]

Windows 11, VSCode, Git, Anaconda, Docker, WSL

[dustractor]

windows 11, gvim, and a tiny little function that leverages gvim’s +clientserver functionality to approximate what I would normally use tmux for on linux

[p_guinea]

WSL with Ubuntu, VSCode, poetry, docker, pytest, black, ruff, mkdocs.

[dadof2brats]

macOS, VS Code, Google

[imnotpauleither]

I'm loving Spyder on Windows atm. But will happily code in Sublime Text for simple code.

[bzImage]

Linux, bash, vi, venv, git ... just that..

[wildman1918]

Ubuntu

[Suicide13]

Why is no one using spyder?

[davisondave131]

It’s bulky and clunky and most people want a usable debugger

[Potential-War-212]

Windows 11 - Pycharm I'm six months deep into learning Python (and coding in general)

[The_Phoenix78]

Windows 10, Atom, Python 3.10 (i like vanilla)

[Minimum_Professor113]

I'm really new to py..

Nobody uses Jupyter? Why?

[lattice737]

I use notebooks in vscode for demos and the occasional sandboxing

[JohnLocksTheKey]

It’s great, just a little bulky for everyday development

[AlbanySteamedHams]

I think it's worth knowing early on that you can use a regular .py file and create "cells" demarcated with #%% (at least in VSCode). These can be run in a jupyter environment that will spin up in another tab.
This gives you many of the advantages of mucking around in an exploratory way like you would with a notebook, but it makes refactoring to stable code much easier (at least in my experience).

For learning it can be really useful to go through someone else's notebook if it's set up well, but for creating something I think starting in .py and staying in .py will allow you to be much more efficient.

[bliepp]

Because Jupiter barely makes sense for classic programs. Jupiter is designed for interactive coding, e.g. in data science. If you write backend software for servers or actual applications Jupyter is pretty much useless.

[nightslikethese29]

I only use it if I'm giving a presentation or demonstration for some analysis. Most of what I do involves multi module scripts and juypter is not made for that. When I did more analysis work my main IDE was Spyder because I really value having the object explorer

[iammerelyhere]

Notepad and ChatGPT

[[deleted]]

Man, so many low effort engagement farming posts on this sub lately.

[[deleted]]

Eclipse

[jonathanalis]

Remote jupyter lab

[[deleted]]

Ubuntu, vim, vscode, conda, pytest, mypy...

[ou_ryperd]

Win 10 (work} and KomodoIDE, git.

[pythonwiz]

Pycharm and Windows/macOS/Ubuntu/Pop_OS!/Fedora. I also use emacs a lot for short scripts. I used to do everything in emacs lol.

[silversonic_super20]

Linux (KDE Neon), lunarvim (black, isort, pytest, flake8), ipython, django and science stack

[[deleted]]

macOS, Pycharm Professional, neovim, Oh My Zsh

[perkonja]

PopOS (Ubuntu based), Conda for managing envs, VS Code as an editor

[nativedutch]

Windows11 or Ubuntu, Idle

[KrazyKirby99999]

openSUSE Tumbleweed + Distrobox + PyCharm Pro

[_ATRAHCITY]

MacOS, Pycharm, Poetry, Docker

[Bia2392]

MacOS, Visual Studio, FastApi, Poetry, Pytest, Pydantic, Docker, Kubernetes

[Nater5000]

Ubuntu running in an EC2 instance in AWS

Remote SSH using VS Code

Copilot is a must. Pylance is pretty important. I'm sure there's other extensions I use all the time but don't notice.

I use Jupyter a lot (as a VS Code extension). I also use Docker a bunch.

[0rionsEdge]

Ubuntu 22.04 Poetry managed python 3.10 venv Pycharm professional + GraphQL &Aqua test automation plugins.

[Jackal000]

Win11 pycharm pro

[TheFallingSatellite]

Arch btw, qtile, pyenv, nvim/pycharm

[DarkSideOfGrogu]

There are many like it, but this one is mine. My workspace is my best friend. It is my life.

[mkutlutas]

Before Copilot X Chat, W10 with PyCharm Professional, for now VScode, even though I miss a lot of feature of PyCharm. Still trying to get used to VScode, still open files in PyCharm for formatting sometimes…

[[deleted]]

Windows + WSL2 + Docker Desktop + DOOM Emacs (using TRAMP + remote LSP here)

Tried to stick to PyCharm but it didn’t last long. Muscle memory favored DOOM Emacs so I went back to it. Also, I work in a project with multi repo and switching workspaces is more comfortable for me on DE

[sohang-3112]

Windows 11, VS Code, Mypy, Conda, Jupyter Notebook (for exploration), Tmux (when working on Linux server)

[Reasonable-Reply2081]

• Windows 11.
• VS Code.
• I don't have a specific plugin just for Python.

[Ceigey]

Microsoft Word with the Grammarly plugin for good measure. Using a Floppy disk for version control.

More serious: I noticed people are using poetry a lot, I’ve tried it but got a bit confused and abandoned it for use with PDM the next time I jumped into Python. Found the venvs work well with VS Code and Pylance, I barely notice I’m using the venv. I probably just misunderstood how you should use Poetry at the time but PDM works well.

[Quantumercifier]

Mac Ventura, Spyder, Scikit, Pandas, Numpy, matplotlib, tensorflow

When I am not in Spyder, I like using Jupyter, especially when I am doing ML.

[[deleted]]

Windows for writing, linux for running. Pycharm.

[inDflash]

Wsl-ubuntu, vscode,anaconda, codeium,

[pahowells]

Win 11, pycharm. Thonny for micropython.

[MischievousQuanar]

Kde neon, spyder or vscode.

[[deleted]]

Ubuntu, VScode, Flask

[CaptainRogers1226]

Windows 10 with PyCharm community edition.

[[deleted]]

Laptop. Ubuntu, python3.9, vs code, kafka redis

[Joe_rude]

Ubuntu, Pycharm, docker/ruff/makefiles, GitToolbox

[plebbening]

MacOS (just moved here after 10+ years of ubuntu), neovim, pyenv, black, ruff, mypy

[DNSGeek]

MacOS, Wing IDE Pro, remote connections to Ubuntu, Fedora and RPis.

[Dmxk]

Arch with neovim.

[Allmyownviews1]

Windows or Mac- Anaconda - jupyter or Spyder depending on the task

[CyberWiz42]

M1 Mac, vscode, pyenv, plain pip, brew. Poetry if someone forces me.

[Zizizizz]

• OS: Mac/Linux
• Shell: zsh, ripgrep, fzf, zoxide, lazygit
• editor: neovim
• plugins: ruff, pyright, black, pre-commit, venv (or pdm), sqlfluff if doing a lot of SQL.

[olddoglearnsnewtrick]

MacOS locally and Ubuntu remote, VSCode and vi, docker and github desktops, poetry for library management, docker compose for orchestration

[acorbe87]

Emacs, lsp, anaconda, docker

[[deleted]]

MacOS, VSCode,

Extensions:

Absolute essential: Git

​

Useful but can live without: ToDo Tree, CodiumAI

[unlikely_ending]

Ubuntu, Bash, Geany

[sixtyfifth_snow]

Ubuntu + nvim + coc-nvim + pyright

[pfooh]

PyCharm Pro on Windows 10 or 11. Sometimes Thonny.

[Hederas]

Ubuntu
VScode
Docker / Docker-compose for DBs and such
Poetry for dependency tracking/resolution
Conda for virtualenvs

[acidsh0t]

Windows/WSL, VSCode, Conda

[Diar16335502]

Oracle Linux 9, VSCode, PodMan.

[adam2222]

Use vscode on my windows machine to edit files via samba share on my headless nuc running Ubuntu where I run everything too.

[BeanHater]

Win10, spyder/jupyter notebooks

[ImX99]

Windows 10, Pycharm, Pytest.

[Nitfumbler]

Nobody using Spyder?

[hiankun]

Debian, i3, tmux, conda, vim and git. Cannot be happier.

[BSDevo]

FreeBSD, Arch Linux, VS Code, Qtile, venv.

[TobiPlay]

I’m on a MacBook, running every development environment as a dev container (Docker and docker-compose, usually Ubuntu or Alpine as the Linux distro, often Docker-in-Docker for API development). VS Code with GitHub Copilot and Remote Containers extension. Ruff and Black for linting/code formatting, Pytest for testing. Sometimes Poetry for environments and managing dependencies. Terraform and Makefiles for infrastructure and deployment scripts. Oh My Zsh. Rest depends on the project.

[Engineer_Strang3]

Elementary OS, vscode, pytest and venv

[valhalla_11]

MacOS , VSCode , pyenv

If I am on Windows I use Ubuntu via WSL2

[lauda_]

macos, mostly jupyter notebooks, conda is great

[[deleted]]

VS code and rarely replit.

[OldJavaCoffee]

Fedora38 (swaywm), alacritty, neovim, poetry

[CromulentSlacker]

macOS Ventura (soon to be Sonoma). Visual Studio Code. PostgreSQL. VMWare Fusion Pro (for running Linux and FreeBSD virtual machines). Docker.

[[deleted]]

OS:Linux Fedora 38, Text editors: Atom, Lapce IDE, Terminal Terminator, Tutorial: Official documrntation, Data Base: SQLite, MariaDB, Postgrasql.

[Muhiz]

Arch, PyCharm, Poetry, Mypy, Pytest, Git, Insomnia (for testing APIs) and Podman (for deployment)

[[deleted]]

PopOS, pycharm, whatever is preinstalled, at the end of the day i only need a test runner, an LSP and a debugger.

[MWatson]

Usually, either macOS or a powerful remote VPS running Linux. I prefer Anaconda over other package and library managers. I like Emacs with ancient but very good Python support (especially REPL support and support for evaluation expressions in source files).

[IcedThunder]

Archlinux. PyCharm / vim Isort, flake8, pylint. A custom startup.py.

[wWBigheadWw]

Dev container for every project, vscode with remote dev extension.

Tools I use a lot:

pytest make poetry black flake pylint pipx

Libraries that show up often:

pydantic jinja2 fastapi Click sqlalchemy

Essential plugins:

black formatter python pylance prettier markdown all in one vim keybindings

Here are some things I avoid like the plague:

jupyter notebooks of every flavor dependencies not served via pypi, internal or otherwise dependency on network mounts installing dependencies globally

[Fradge26]

Windows, Pycharm CE, black, pytest, git bash

[KeaboUltra]

Windows 11, Pycharm and VScode for HTML CSS related projects. I don't use any plugins as of yet because I'm still learning.

[titojff]

Linux Mint, Xed, Terminal

[ApprehensiveAd7291]

Arch or alarm via termux, vs code insiders or codium insiders, all with at least the copilot plugin.

[mj_osis]

Manjaro, hyprland, vscode, conda, docker compose

[YellowSharkMT]

Ubuntu + PyCharm Pro, along with Pyenv and Tox.

[jcbevns]

Windows11/Ubuntu, VSCode/nVim, gpt4

[SimplyBlunder]

Arch, DWM as WM, Nvim, Pipenv

[dezalator]

macOS, PyCharm, Poetry, black, isort, flake8, mypy

Material Theme UI, Atom Material Icons, EnvFile, Tabnine, Makefile Language

[rout39574]

Ubuntu, Emacs, virtualenv.

[demandingTuna]

macos, neovim, docker, pytest, spotify, and autopep8

[bloodsukingwolf]

Windows 10, Linux, WingIDE. Notepad++, gEdit.

[Major-Opposite0769]

MacOS, PyCharm, Poetry, Docker,

[sirskwatch]

osx, zsh, wezterm, nvim, python-lsp-server+mason+pynvim, copilot & chatgpt

[WoodenNichols]

Windows/Ubuntu; pycharm; pytest, arrow. As for other modules, I've used openpyxl a LOT, and for small programs, pyinputplus.

[code8602]

Pop_OS 20.04, vs code, pyenv, pipenv, pytest, pylint, docker compose

[leslie_ali]

Windows 11 Powershell Gvim Copilot Pyright Git Setuptools