geospatial-data-lake
flynt
geospatial-data-lake | flynt | |
---|---|---|
5 | 13 | |
32 | 668 | |
- | - | |
0.0 | 6.6 | |
about 1 year ago | 6 months 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....
flynt
- flynt – convert old Python code to use Python 3.6's "f-strings"
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
pyupgrade and flynt are examples of tools that modify your code base from earlier python versions into the newest python syntax, rewriting all string formats into f-strings and similar things.
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Conversion from the f-string literals to format method in python
flynt - string formatting converter
- Flynt – convert Python old %-formatted strings to Python 3.6 f-strings
- pathlib instead of os. f-strings instead of .format. Are there other recent versions of older Python libraries we should consider?
- formatting issues
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Python Best Practices for a New Project in 2021
That is a great write-up! One extra bit I'd recommend to this list is using https://github.com/ikamensh/flynt to convert string format into f-strings. It requires Python 3.6.
- Flynt: Convert old Python string formatting to f-strings
- A tool to automatically convert old string literal formatting to f-strings
What are some alternatives?
pydantic-factories - Simple and powerful mock data generation using pydantic or dataclasses
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
template-python-hello-world - :triangular_ruler: Python Hello World | Minimal template for Python development
python-imphook - Simple and clear import hooks for Python - import anything as if it were a Python module
asgi-correlation-id - Request ID propagation for ASGI apps
minimum-viable-wordpress - A single-file WordPress theme.
aws-cdk - The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
devpi - Python PyPi staging server and packaging, testing, release tool
dev-tasks - Automated development tasks for my own projects
pypiserver - Minimal PyPI server for uploading & downloading packages with pip/easy_install
pip - The Python package installer
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities