geospatial-data-lake
rich
geospatial-data-lake | rich | |
---|---|---|
5 | 148 | |
32 | 47,170 | |
- | 0.8% | |
0.0 | 8.0 | |
about 1 year ago | 5 days ago | |
Python | Python | |
MIT 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.
geospatial-data-lake
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A curated list of questionable installation instructions
One option is to trust on first use, checksum the installation script and at least casually verify the diff each time the checksum changes[1].
Pros:
- Protects against simple hijacking.
- Reproducible as long as the installer doesn't also call out to a moving target, such as example.com/releases/latest.
Cons:
- Build breaks as soon as the installer is bumped. If it's bumped often (or just before an important release) this can cause pain.
- TOFU may not be acceptable, but of course you could review the code thoroughly before even the first use.
[1] https://github.com/linz/geostore/blob/b3cd162605109da8a3a688...
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Ask HN: Good Python projects to read for modern Python?
I'd recommend a project from work, Geostore[1]. Highlights:
- 100% test coverage (with some typical exceptions like `if __name__ == "__main__":` blocks)
- Randomises test sequence and inputs reproducibly
- Passes Pylint with max McCabe complexity of 6
- Passes `mypy --strict`
- Formatted using Black and isort
[1] https://github.com/linz/geostore
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Python Best Practices for a New Project in 2021
The current work project[1] has all of these: Pyenv, Poetry, Pytest, pytest-cov with 100% branch coverage, pre-commit, Pylint rather than Flake8, Black, mypy (with a stricter configuration than recommended here), and finally isort. These are all super helpful.
There's also a simpler template repo[2] with almost all of these.
[1] https://github.com/linz/geostore/
[2] https://github.com/linz/template-python-hello-world
- Codecov bash uploader was compromised
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AWS CloudFormation Best Practices
As someone who's used CDK for a few months and never handcoded CF, that sounds completely correct. If you're comfortable with Python, here's a simple but non-trivial architecture you can check out: https://github.com/linz/geospatial-data-lake/blob/master/app....
rich
- Rich is a Python library for rich text and beautiful formatting in the terminal
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Neat Parallel Output in Python
There is an open issue [1] on GitHub to make it more modular and get rid of markdown and syntax highlighting but I have no hope for rich to get more minimal.
[1]: https://github.com/Textualize/rich/issues/2277
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Ask HN: Programmers and Technologists in Scotland
I hope he doesn't mind, but the creator of Rich and Textualize is a good guy, and Scottish: https://www.willmcgugan.com/about/
https://www.textualize.io/
https://github.com/Textualize/rich
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Python 3.12
They keep getting improved error messaging and this is one of my favorite features. But I'd love if we could get some real rich text. Idk if anyone else uses rich, but it has infected all my programs now. Not just to print with colors, but because it makes debugging so much easier. Not just print(f"{var=}") but the handler[0,1]. Color is so important to these types of things and so is formatting. Plus, the progress bars are nice and have almost completely replaced tqdm for me[2]. They're just easier and prettier.
[0] https://rich.readthedocs.io/en/stable/logging.html
[1] Try this example: https://github.com/Textualize/rich/blob/master/examples/exce...
[2] Side note: does anyone know how to get these properly working when using DDP with pytorch? I get flickering when using this and I think it is actually down to a pytorch issue and how they're handling their loggers and flushing the screen. I know pytorch doesn't want to depend on rich, but hey, pip uses rich so why shouldn't everyone?
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colors.crumb - first Crumb usable. Extending Crumb with basic terminal styling and RGB, HEX, ANSI conversion functions.
colors.crumb extends Crumb with basic terminal styling functions and RGB, HEX, ANSI conversion functions. It is in the realm of JavaScript's chalk and Python's rich but slightly more functional 😉.
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Textual: Rapid Application Development Framework for Python
I am working on a new python project and one of the first things I added was https://github.com/Textualize/rich because of how easy it is to make things look good in the terminal.
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What are you rewriting in rust?
I am not rewriting anything but I'd love to have a library like `rich` in Rust: https://github.com/textualize/rich
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Things to do with standalone script
Add some cool-looking stuff to your output with rich.
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I made a library for making user terminal input really really pretty!
You might consider taking inspiration from the rich module. In particular, I like how rich supports inline color theming which seems much more cumbersome in your framework, requiring the use of context managers as well as familiarity with how your framework structures color objects. Other than that though, I'm impressed!
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coBib 4.0: a modern UI using Textualize libraries
Today I released coBib 4.0, my console bibliography manager written in Python, which now uses rich and textual to provide a cohesive and modern user experience in both its CLI and TUI.
What are some alternatives?
pydantic-factories - Simple and powerful mock data generation using pydantic or dataclasses
tqdm - :zap: A Fast, Extensible Progress Bar for Python and CLI
template-python-hello-world - :triangular_ruler: Python Hello World | Minimal template for Python development
colorama - Simple cross-platform colored terminal text in Python
asgi-correlation-id - Request ID propagation for ASGI apps
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
aws-cdk - The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
textual - The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
dev-tasks - Automated development tasks for my own projects
blessed - Blessed is an easy, practical library for making python terminal apps
pip - The Python package installer
alive-progress - A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!