parsimonious
pip
parsimonious | pip | |
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5 | 108 | |
1,760 | 9,289 | |
- | 0.6% | |
3.3 | 9.8 | |
4 months ago | about 17 hours ago | |
Python | Python | |
MIT License | MIT License |
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parsimonious
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How would I solve this?
Oh sorry, I grabbed the wrong PEG parser… I’ve used this one: https://github.com/erikrose/parsimonious
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Not Your Grandfather’s Perl
A grammar provides the high level constructs you need to define the "shape" of your data, and it largely takes care of the rest. Grammar libraries exist in other language (eg. lark or Parsimonius in Python) and they weren't created just to make XML parsing easier.
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Do programmers save chunks of code for repeated use?
I'm honestly shocked that you are being downvoted heavily for this. I was literally reading a pip module a few days ago that cites stackoverflow in the code. It may not be for code snips but it it's not wild to think that someone would do this for code they pulled from SO.
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Advent of Code 2020: Day 25 with Generators in Python
Parsimonious
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Advent of Code 2020: Day 07 using Python PEG grammars + NetworkX
Since the input comes in the form of well-formatted text with with variable-width lines, this seems a perfect fit for a PEG parser, as described in Day 04. Using a PEG parser with a node visitor also lets us process each each node as it is being parsed, saving a loop or two. As usual, I will be using the parsimonious library for Python. Importing it with from parsimonious.grammar import Grammar
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?
What are some alternatives?
transitions - A lightweight, object-oriented finite state machine implementation in Python with many extensions
mamba - The Fast Cross-Platform Package Manager
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Poetry - Python packaging and dependency management made easy
Bash-Utilities - A few bash scripts I've written that I wanted to share
PDM - A modern Python package and dependency manager supporting the latest PEP standards
NumPy - The fundamental package for scientific computing with Python.
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
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
termux-create-package - Python script to create Termux packages easily.