Run the version of python corresponding to an executable installed with pipx
Project description
pipx-python 📦️🪛🐍
@readwithai - X - blog - machine-aided reading - 📖⚡️🖋️
Run the Python binary corresponding to an application installed with pipx. Also swiss-army knife of querying pipx virtualenvs.
This is quite useful if you are developing command-line tools installed with pipx install -e ., for example to run tests or debug issues.
👿 Motivation
I install a lot of command-line tools and make command-line tools. The command-line is fun, easily discoverable and highly composable. Many of these are written in Python.
Distributors have decided to push users into using pipx. This works reasonable well, if a bit slow. But one issues is that it makes debugging issues with applications a little different because everything is hidden in a different fiddley virtualenv.
This tool represents tooling I made for myself to make interacting with pipx virtualenvs less irritating.
🐍📭️🪛️ Installation
You can install pipx-python using pipx:
pipx install pipx-python
📦🪛️🐍 Usage
If you for example installed llm with pipx then you can run the version of python correponding with this app using:
pipx-python llm
To find the path to the virtualenv, use can use the --venv flag.
pipx-python llm --venv
🤑 Support this tool
If you like this tool you could give me money ($1 maybe) on my ko-fi.
You could also look at some of the other command-line tools I have created.
📖⚡️🖋️ About me
I am @readwithai. I make tools for reading, research and agency often using Obsidian.
I also produce a stream of tools related to the work I do on this.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pipx-python-1.0.0.tar.gz.
File metadata
- Download URL: pipx-python-1.0.0.tar.gz
- Upload date:
- Size: 3.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c27506641ce7cc18b21c62a6231f3feab5de418a9f0bb804606ddad296dfe253
|
|
| MD5 |
f2cef659c98c0a13b04f8fa7c3b0e763
|
|
| BLAKE2b-256 |
0fc082ee67a50b832487726078a86df59c7a75a4d1f44e9d65c0ed42833a55a5
|