python-build-standalone
vscode-jupyter
python-build-standalone | vscode-jupyter | |
---|---|---|
11 | 32 | |
1,544 | 1,221 | |
- | 2.8% | |
9.1 | 0.0 | |
8 days ago | 1 day ago | |
Python | TypeScript | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
python-build-standalone
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Mise is a polyglot tool version manager
It also replaces "just" as a task manager for me which is very pleasant.
The fact that the python plugin uses precompiled Python binaries by default instead of building them from source remove common issues I had with the asdf's python plugin at work with missing dependencies.
Just so you know, I encountered two little quirks that needed a fix:
- [Backspace Key Doesn't work in Python REPL](https://github.com/indygreg/python-build-standalone/blob/mai...)
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Pyenv – lets you easily switch between multiple versions of Python
These builds are an alternative: https://github.com/indygreg/python-build-standalone
Those are what Rye and hatch use.
Drawbacks: late availability of patch versions, various quirks from how they are built (missing readline, missing some build info that self-compiled C python modules might need.)
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Show HN: Pywebview 5
Bundling Python isn't too bad if you find the right tools for it.
I really like https://github.com/indygreg/python-build-standalone and https://github.com/indygreg/PyOxidizer
A bundled, built standalone Python can be 16 to 32MB (including the full standard library, which you can strip down to just the bits you use to save size). Not tiny, but probably not worth switching programming languages over.
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ModuleNotFoundError, but it's there
I'm trying to build a "portable" Python package based on those available from https://github.com/indygreg/python-build-standalone/releases.
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Briefcase: Convert a Python project into a standalone native application
I'm a huge fan of https://github.com/indygreg/python-build-standalone which provides Python builds that CAN be moved around and work independently of any other Python installation.
I used that for my own Python+Electron app, which I wrote about here: https://til.simonwillison.net/electron/python-inside-electro...
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alternative to poetry/pip/pipenv/pyenv/venv/virtualenv/pdm/hatch/…
I used to build my own Pythons that are the same everywhere, now I use indygreg's Python builds. Rye will automatically download and manage Python builds from there. No compiling, no divergence.
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As if there weren't enough packaging tools already: mitsuhiko/rye: an experimental alternative to poetry/pip/pipenv/venv/virtualenv/pdm/hatch/…
One interesting tidbit is that it completely ignores your system Python installations, and instead uses precompiled installations of Python by indygreg from PyOxidizer. This means you don't have to deal with installing Python. It just auto downloads the right builds.
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How to install any version of Python on Northeastern's Linux server
wget https://github.com/indygreg/python-build-standalone/releases/download/20220630/cpython-3.10.5+20220630-x86_64_v3-unknown-linux-gnu-install_only.tar.gz -O - | tar -xz && mv python PortablePython
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Switching from pyenv, rbenv, goenv and nvm to asdf – yujinyuz
The lack of Ruby support instantly rings an alarm for me because CPython (on POSIX) also is not relocatable, but is listed as support. Turns pit Hermit is actually using a third-party build script[1] instead of the official one. While the python-build-standalone project is quite awesome and indeed is useful for a lot of things, it has enough quirks I would recommend against any generic package distributor to advertise as Python for general use. This in turn makes me lose most confidence on Hermit, unfortunately.
Be careful if you’re also interested in Hermit. These kinds of things bit you up way down the road when you least expect them to.
[1] https://github.com/indygreg/python-build-standalone
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How to make sure a python program runs on a computer that might not have internet connection to download the external libraries used?
If you really want to be sure, you can download an install_only standalone Python build from https://github.com/indygreg/python-build-standalone/releases and install the libraries with the included pip. Then just tar it again to archive it, and use the included python to run your project. The downloaded wheel you get with pip wheel may depend on the Python version so you just save the wheels you must make sure the Python point version is exactly the same.
vscode-jupyter
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Multiple Notepad++ Flaws Let Attackers Execute Arbitrary Code
https://github.com/microsoft/vscode/issues/4490
It looks like there are a number of vscode extensions for recording macros:
- https://www.google.com/search?q=vscode+macro+recorder
- https://marketplace.visualstudio.com/search?term=Macro&targe...
- the macro-commander README explains its JSON-based macro language. YAML might be easier to maintain than JSON. https://github.com/jeff-hykin/macro-commander#what-are-some-...
For teams with multiple editors, you can specify workflow automation scripts with shell scripts or ci container/cmd YAML, and/or pre-commit.yml instead of with an IDE-specific tool.
Isn't there native real-time collaboration functionality in vscode/vscodium that would be useful for a native macro recording feature? (Edit) Live Share can't be installed in vscodium. https://github.com/VSCodium/vscodium/issues/128
Support for jupyter-collaboration Y.js CRDT could be added to vscode-jupyter and/or a more generic extension: "Support for real-time collaboration in the extension?" https://github.com/microsoft/vscode-jupyter/discussions/1293...
jupyterlab/jupyter-collaboration:
- Unable to view complex numpy arrays in Dataviewer in VSCode
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Formatting for long errors from a Jupyter notebook
Check out this GitHub issue. Similar to your needs, the reply said
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Scrollable Notebook Cell
It looks like this. I resubmitted a new feature request.
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Jupyter Notebooks + VSCode Dev Container with Puppeteer support
I don't like the fact that Visual Studio Code thinks a notebook has changed, while Git knows it isn't. According to issue #9514, this is something that should be fixed in the core of Visual Studio Code. So, I'm not really sure why issue #83232 (or #24883) is closed.
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Ask HN: Are there any good Diff tools for Jupyter Notebooks?
I wish for a simple option in VS Code: On close of a Jupyter Notebook clear its output. Or something that separate the display of the output from the saved file (Still `ipnyb` file). See [1].
[1]: https://github.com/microsoft/vscode-jupyter/issues/9514
- VS Code Extensions For Python Developers.
- Jupyter Extension not working
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HELP i've tried everyhting | Jupyter extension won't work
jupyter won't work on vs-code
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Syntax highlighting is completely broken outside the first cell of my Jupyter notebook. It just keeps duplicating positionaly whatever is in the first cell. I have spent hours trying to fix. I am at a complete loss. Any ideas?
If that doesn't fix it, can you log an issue here? https://github.com/microsoft/vscode-jupyter/issues
What are some alternatives?
iron.nvim - Interactive Repl Over Neovim
evcxr
pyenv - Simple Python version management
vscode-gitlens - Supercharge Git inside VS Code and unlock untapped knowledge within each repository — Visualize code authorship at a glance via Git blame annotations and CodeLens, seamlessly navigate and explore Git repositories, gain valuable insights via rich visualizations and powerful comparison commands, and so much more
eclectica - ☀️ Cool and eclectic version manager for any language
vscode-nodebook - Node.js notebook
semver - Semantic Versioning Specification
Plotly.jl - A Julia interface to the plot.ly plotting library and cloud services
Visual Studio Code - Visual Studio Code
Bracket-Pair-Colorizer-2 - Bracket Colorizer Extension for VSCode