flake8-alphabetize
conda
flake8-alphabetize | conda | |
---|---|---|
2 | 30 | |
16 | 6,121 | |
- | 1.1% | |
3.8 | 9.8 | |
12 months ago | 6 days ago | |
Python | Python | |
MIT No Attribution | GNU General Public License v3.0 or later |
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.
flake8-alphabetize
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My take on the study from MIT that predicts “societal collapse”
You're right that energy ultimately dissipates as heat, but the important thing is what the energy achieves in between hitting the earth as sunlight and then heading off into space as infrared. If you put a solar panel in place to turn the light into electricity and then use that electricity to write a Python plugin for Flake8 https://github.com/tlocke/flake8-alphabetize then maybe you're contributed something to the economy :-)
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Python Best Practices for a New Project in 2021
I think you mean Flake8 rather than Sense8? Anyway, gives me a chance to plug Flake8 Alphabetize, a Flake8 plugin for import ordering https://github.com/tlocke/flake8-alphabetize
conda
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How to Create Virtual Environments in Python
Python's venv module is officially recommended for creating virtual environments since Python 3.5 comes packaged with your Python installation. While there still are additional older tools available, such as conda and virtualenv, if you are new to virtual environments, it is best to use venv now.
- Why does creating my conda environment use so much memory?
- Installing Anaconda on ChromeOS using Linux
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PSA: conda-libmamba-solver can cut two hours off of your Anaconda install, but has only 47 GitHub stars. It deserves more praise.
conda's dependency solver solves a harder problem than pip's. This quote alludes to it "Conda will never be as fast as pip, so long as we're doing real environment solves and pip satisfies itself only for the current operation." (from https://github.com/conda/conda/issues/7239). Thus mamba was created to improve performance and now conda is bringing in that performance boost.
- Is Anaconda still open source?
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How to get the best Conda environment experience in Codespaces
The other challenge I ran into sometimes was that if I was running a lower memory/storage Codespace instance, when I tried to use Conda from the command line to modify environments, the process would be killed after a few seconds. This turns out to be related to some performance issues Conda has that make it consume a lot of memory when trying to work with the conda-forge installation channel. You can always then just increase the size of the Codespace your are working with (just go to your Codespaces list and use the triple dots to change the settings for a Codespace).
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What is the status of Python 3.11?
It's worth noting that [ana]conda isn't even fully compatible yet with 3.11 (you can use it to create 3.11 environments--and you really should rather than waiting on relying on the system python--but conda itself can only run on 3.10.
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Miniconda finally released for Python 3.10
It took some time but as great Christmas present Miniconda was finally released with Python 3.10!
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TW: ZSH (and BASH?) does not show current working dir etc anymore
The September update broke it.
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Python 3.11.0 is now available
According to this this issue is high on their priority list (whatever that means).
What are some alternatives?
pydantic - Data validation using Python type hints
mamba - The Fast Cross-Platform Package Manager
flynt - A tool to automatically convert old string literal formatting to f-strings
Poetry - Python packaging and dependency management made easy
pyright - Static Type Checker for Python
miniforge - A conda-forge distribution.
template-python-hello-world - :triangular_ruler: Python Hello World | Minimal template for Python development
PDM - A modern Python package and dependency manager supporting the latest PEP standards
helm - The Kubernetes Package Manager
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
PyInstaller - Freeze (package) Python programs into stand-alone executables
pip - The Python package installer