miniforge
flynt
miniforge | flynt | |
---|---|---|
56 | 13 | |
5,306 | 668 | |
3.4% | - | |
7.7 | 6.6 | |
8 days ago | 6 months ago | |
Shell | Python | |
GNU General Public License v3.0 or later | 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.
miniforge
- Python 3.12
- Installing Anaconda on ChromeOS using Linux
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What is the difference between chat, cai-chat, and instruct, and how to use them?
Nope they don't use venv for any of the oobabooga# variants nor is it recommended for the git version. I'm using https://github.com/conda-forge/miniforge#mambaforge-pypy3 (better version of the recommended conda) for the git variant. The oobabooga* variant uses micro/miniconda (I suck with names) which you can easily drop into with cmd_?something? and does it all internally. Like whoever built that whole environment setup for the _windows/linux/mac did a great job.
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Build llama.cpp on Jetson Nano 2GB
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-aarch64.sh .
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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.
Mambaforge!
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A quick guide to using mamba-forge for python virtual environment management
Just to further clarify: you don't need mamba to avoid the Anaconda distribution. The place you get mambaforge also supplies (and originally supplied) miniforge, which is miniconda with conda-forge set as the default channel. All the *forge installers do in this regard is automatically set conda-forge as the default (and only) channel, which is something one can do manually with miniconda.
- Recommendations for Data Science Workflow
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path issue - cannot import modules in jupyter installed via pip3 (m1 mac)
I'd recommend using miniforge if you're comfortable with CLIs, otherwise https://www.anaconda.com/.
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How to get the best Conda environment experience in Codespaces
Tip 1: To use less of your Codespaces resources start with a smaller image like Miniconda or Miniforge and install only what you need.
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Ask HN: Programs that saved you 100 hours? (2022 edition)
miniforge, no need to deal with conda environments anymore. https://github.com/conda-forge/miniforge
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?
mamba - The Fast Cross-Platform Package Manager
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
pyenv - Simple Python version management
python-imphook - Simple and clear import hooks for Python - import anything as if it were a Python module
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
minimum-viable-wordpress - A single-file WordPress theme.
Poetry - Python packaging and dependency management made easy
devpi - Python PyPi staging server and packaging, testing, release tool
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
pypiserver - Minimal PyPI server for uploading & downloading packages with pip/easy_install
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities