Sure, but nox is the closer counterpart for in-venv-task definitions. List "sessions" with -l
, pick specific sessions to run with -s
.
import nox
from nox.sessions import Session
nox.options.reuse_existing_virtualenvs = True
APP_NAME = 'logging_strict'
@nox.session(python='3.12')
def mypy(session: Session):
"""Static type checker (in strict mode)"""
session.install('-U', 'mypy', '.')
session.run('mypy', '-p', APP_NAME, *session.posargs)
Unfortunately it doesn't currently do any parallel runs, but if anyone wants to track/encourage/contribute in that regard, see nox#544.
As someone's new comments just brought me back to this post, I'll point out that these days there's another good option: uv run.
No, I don't use GHA locally, but the actions are defined to run the same things that I do run locally (e.g. invoke nox
). I try to keep the GHA-exclusive boilerplate to a minimum. Steps can be like:
- name: fetch code
uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
allow-prereleases: true
python-version: |
3.13
3.12
3.11
3.10
3.9
3.8
3.7
- run: pipx install nox
- name: run ward tests in nox environment
run: nox -s test test_without_toml combine_coverage --force-color
env:
PYTHONIOENCODING: utf-8
- name: upload coverage data
uses: codecov/codecov-action@v4
with:
files: ./coverage.json
token: ${{ secrets.CODECOV_TOKEN }}
Sometimes if I want a higher level interface to tasks that run nox
or other things locally, I use taskipy
to define them in my pyproject.toml
, like:
[tool.taskipy.tasks]
fmt = "nox -s fmt"
lock = "nox -s lock"
test = "nox -s test test_without_toml typecheck -p 3.12"
docs = "nox -s render_readme render_api_docs"
What would Enaml 2.0 look like? | nucleic/enaml | Declarative UI
Hi Everyone! I've been thinking lately that it might be time for me to devote some real effort into an Enaml version "2.0". I'd like some feedback from the community about that should look like. He...
From Enaml's docs:
> Enaml brings the declarative UI paradigm to Python in a seamlessly integrated fashion. The grammar of the Enaml language is a strict superset of Python. This means that any valid Python file is also a valid Enaml file, though the converse is not necessary true. The tight integration with Python means that the developer feels at home and uses standard Python syntax when expressing how their data models bind to the visual attributes of the UI.
> . . .
> Enaml’s declarative widgets provide a layer of abstraction on top of the widgets of a toolkit rendering library. Enaml ships with a backend based on Qt5/6 and third-party projects such as enaml-web and enaml-native provides alternative backends.
---
A maintainer of Enaml has just opened a brainstorm discussion on the next major development goals.
It's a project I've long admired, though rarely used, and I'd love to see it get some attention and a revamp. I think the bar these days has been raised by projects like QML and Slint, which provide a great context in which to set new goals.
If you choose to give Fedora a try, I recommend Ultramarine, which has more set up from the start, including their "Terrs" repository with more updated packages.
phreda4/r3: r3 programing language - ColorForth inspired
r3 programing language - ColorForth inspired. Contribute to phreda4/r3 development by creating an account on GitHub.
marcopaganini/rpn: A CLI RPN calculator in Go
A CLI RPN calculator in Go. Contribute to marcopaganini/rpn development by creating an account on GitHub.
This is not my own project!
Discussion on HackerNews
Slint 1.8: Math gains postfix support
Slint is a GUI toolkit, and is largely not relevant to concatenative programming. But the latest release adds a touch of postfix to the mix, which is nice to see.
From the blog post:
> ## Math Gains Postfix Support > > A subtle but profound change to the language. Traditional syntax: > > Math.max(20, Math.abs(value.x)) > > New postfix syntax: > > value.x.abs().max(20) > > The new syntax improves readability by making the transformation steps more explicit. It works well for many operations but has limitations: > > Effective for simple transformations (e.g., abs, max) Less intuitive for operations like clamp or atan2. > > pos.y.atan2(pos.x) // Less clear than atan2(pos.y, pos.x) > > So for now you cannot use postfix for all functions in the Math namespace. We may revisit these cases later, so give them a try and let us know your thoughts.
Explore Roc's error handling through a Forth interpreter implementation. Learn about Roc's launch on Exercism and dive into stack-based programming concepts.
- https://www.altap.cz/
- Files
- Double Commander
- Dolphin
- mucommander
In no particular order.
Ah yes you can tell by the post title:
best linux terminal emulator
For me: Wezterm. It does pretty much everything. I don't think Alacritty/Kitty etc. offer anything over it for my usage, and the developer is a pleasure to engage with.
Second place is Konsole -- it does a lot, is easy to configure, and obviously integrates nicely with KDE apps.
Honorable mention is Extraterm, which has been working on cool features for a long time, and is now Qt based.
8th - Commercial Forth-y Language
everything about the 8th cross-platform programming language
zdimension/macro-forth: some kind of RPN in rust via macros
Compile-time const Forth evaluation with macros. Contribute to zdimension/macro-forth development by creating an account on GitHub.
Idea: "ubiquefix" function-call syntax (prefix, infix, and postfix notation combined)
Explanation: https://gist.github.com/Dobiasd/bb9d38a027cf3164e66996dd9e955481
I am not the author.
Just note that the comment was inaccurate, in that their weird encryption is indeed open source at least.
PDF: https://storage.googleapis.com/gweb-research2023-media/pubtools/1004848.pdf
I'd say an important part of this calculator's interaction model is doing something, getting a result, then doing something else to that result. That's not too bad in the regular Python interpreter either.
For example, in Python:
>>> 5
5
>>> 4 + _
9
>>> 2 * _
18
In Stacker:
>>> 5
[5]
>>> 4 +
[9]
>>> 2 *
[18]
Does Hy have something like the Python interpreter's _
?
So it looks like a totally different data flow style, and (I think) geared toward writing then running programs, whereas Stacker is more for interactive stack-oriented calculator tasks.
I've never used Hy. Does it offer any concatenative-style interaction?
remokasu/stacker: command-line RPN calculator with an RPN-based scripting language (on PyPI)
Stacker is a command-line calculator that uses reverse Polish notation (RPN) for mathematical calculations and features an RPN-based scripting language. - remokasu/stacker
I suggest trying this one for Zsh, over the more common one: https://github.com/zdharma-continuum/fast-syntax-highlighting
As someone else said, setting less' jump value is helpful.
Another tool I use, mostly for the zshall manpage, is https://github.com/kristopolous/mansnip
Thanks, yes, I use nox and github actions for automated environments and testing in my own projects, and tox instead of nox when it's someone else's project. But for ad hoc, local and interactive multiple environments, I don't.
If it didn’t bring something more to the table, besides speed, no one would care
I'm literally saying its speed in certain operations makes an appreciable difference in my workflows, especially when operating on tens of venvs at a time. I don't know why you want to fight me on my own experience.
I'm not telling anyone who doesn't want to use uv to do so. Someone asked about motivation, and I shared mine.
The convention
That's one convention. I don't like it, I prefer to keep my venvs elsewhere. One reason is that it makes it simpler to maintain multiple venvs for a single project, using a different Python version for each, if I ever want to. It shouldn't matter to anyone else, as it's my environment, not some aspect of the shared repo. If I ever needed it there for some reason, I could always ln -s $VIRTUAL_ENV .venv
.
Learn pyenv
I have used pyenv. It's fine. These days I use mise instead, which I prefer. But neither of them dictate how I create and store venvs.
Shell scripts within Python packages is depreciated
I don't understand if what you're referencing relates to my comment.