Pipenv
miniforge
Pipenv | miniforge | |
---|---|---|
33 | 56 | |
24,609 | 5,306 | |
0.3% | 3.4% | |
9.4 | 7.7 | |
2 days ago | 8 days ago | |
Python | Shell | |
MIT License | 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.
Pipenv
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Pipenv VS instld - a user suggested alternative
2 projects | 9 Dec 2023
- Managing dependencies - pipenv?
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Adding Virtual Environments to Git Repo
pipenv solves this by having both kinds of requirement files: Pipfile lists package names and known constraints on which versions can be used, while Pipfile.lock gives specific package versions with hashes. Theoretically the Pipfile (and its lockfile) format were supposed to be a standard that many different tools could use, but I haven't seen it get adopted much outside of pipenv itself, so I'm not sure if it's really going to catch on.
- Renaming folders is usually a bad idea right?
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A not so unfortunate sharp edge in Pipenv
* Tons of longstanding bugs that fail to be resolved in any sort of timely manner like this one: https://github.com/pypa/pipenv/issues/2413
I am sick and tired of the python packaging space pushing this godawful tool for Python. Please just use pip-tools or poetry instead.
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Publish Webhooks From Your FastAPI API With Convoy
ℹ️ You may use a different virtual environment manager like Pipenv or poetry.
- Why does Pipenv install do the same thing as Pipenv install --ignore-pipfile
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pipenv integration with neovim
Hey lua would you mind looking at this question for me? https://github.com/pypa/pipenv/discussions/5411
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Top 10 Python security best practices
Alternatively, you can look into Pipenv, which has a lot more tools to develop secure applications with.
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Why Fedora still has pipenv v2021.5.29? Over five updates since, the last v2022.3.28
https://github.com/pypa/pipenv/releases https://bodhi.fedoraproject.org/updates/?search=pipenv (pipenv-2021.5.29-7.fc35 for the current Fedora release)
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
What are some alternatives?
Poetry - Python packaging and dependency management made easy
mamba - The Fast Cross-Platform Package Manager
pyenv - Simple Python version management
virtualenv - Virtual Python Environment builder
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
PDM - A modern Python package and dependency manager supporting the latest PEP standards
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Pew - A tool to manage multiple virtual environments written in pure python
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more