pip
conda
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pip | conda | |
---|---|---|
108 | 30 | |
9,264 | 6,086 | |
1.0% | 1.3% | |
9.8 | 9.8 | |
4 days ago | about 11 hours ago | |
Python | Python | |
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.
pip
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How to Create Virtual Environments in Python
Whenever you are working on a Python project that has external dependencies installed with pip, it is strongly recommended to first create a virtual environment.
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Boring Python: dependency management (2022)
Unfortunately that feature is easy to break: https://github.com/pypa/pip/issues/9644
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pip VS instld - a user suggested alternative
2 projects | 9 Dec 2023
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sudo pip install should be illegal
I think I did my part https://github.com/pypa/pip/issues/6409
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Can't seem to install Python YAML support
$ sudo pip install y$ sudo pip install yaml WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip. Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue. To avoid this problem you can invoke Python with '-m pip' instead of running pip directly. ERROR: Could not find a version that satisfies the requirement yaml (from versions: none) ERROR: No matching distribution found for yaml
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Bun v0.6.0 – Bun's new JavaScript bundler and minifier
What are you implying will happen?
Using the build-in tools, you can save the exact versions of dependencies (i.e. a lock file) using "pip freeze >dependencies.txt". This should give you the exact same set of packages in two years' time.
If you want to be even more sure, you can also store hashes in the lock file. This has to be generated by a separate tools at the moment [1][2] but can be consumed by the built-in tools [3], so "pip install -r requirements.txt" is still all you need in two years' time.
[1] https://github.com/pypa/pip/issues/4732
[2] https://pip-tools.readthedocs.io/en/latest/#using-hashes
[3] https://pip.pypa.io/en/stable/topics/secure-installs/#hash-c...
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My Goldilocks Python Setup: pyenv, pipx, and pip-tools
Here’s the issue, https://github.com/pypa/pip/issues/11664. I think the idea would be to have some file/json description of environment that could be passed to pip to allow it to fully cross compile. They are open to supporting it just needs contributor to be found to implement it and go through review/discussion.
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Remote Code Execution Vulnerability in Google They Are Not Willing to Fix
To be fair the only alternative is fixing Python, and even then you still would have to wait a good 5 years at least for all the old Python versions to dwindle.
It doesn't look like the fixing effort is progressing very quickly: https://github.com/pypa/pip/issues/8606
To their credit, at least they didn't close it "works as intended" which I imagine a lot of projects would.
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Pip 23.1 Released - Massive improvement to backtracking
Another good benchmark to trying to resolve apache-airflow[all]==1.10.13 using the state of PyPi on 2020-12-02, I give instructions here on how to reproduce that workflow: https://github.com/pypa/pip/issues/11836. Including a benchmark how how many extra packages your resolver should visit.
- will upgrading pip break things?
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?
mamba - The Fast Cross-Platform Package Manager
Poetry - Python packaging and dependency management made easy
PDM - A modern Python package and dependency manager supporting the latest PEP standards
miniforge - A conda-forge distribution.
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
wheel - Adoption analysis of Python Wheels: https://pythonwheels.com/
Curdling - Concurrent package manager for Python