sh
typer
sh | typer | |
---|---|---|
24 | 88 | |
6,862 | 14,398 | |
- | - | |
6.8 | 8.7 | |
about 2 months ago | 7 days ago | |
Python | Python | |
MIT License | 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.
sh
- sh: Python Process Launching
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Acme.sh runs arbitrary commands from a remote server
I usually replace shell scripts with python (using sh module: https://amoffat.github.io/sh/ for calling other scripts/programs).
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The Right Way to Run Shell Commands from Python
> sh relies on various Unix system calls and only works on Unix-like operating systems - Linux, macOS, BSDs etc. Specifically, Windows is not supported.
from: https://amoffat.github.io/sh/
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Anyone have any tips for developing on Windows?
You can even run interpreted languages as a shell. See plumbum or sh for ways to make it a more comfortable shell and ipython for a better version of the shell.
- Python “Sh” Module
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Argbash – Bash Argument Parsing Code Generator
100% agree. There are some libraries like https://amoffat.github.io/sh/ that aim to make that easier, but they always have some quirks that, funnily enough, are often the corner cases you were hitting in your complicated Bash script in the first place.
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Unix bash scripting versus Python - any resources out there for comparisons?
Another way to make Python scripts nicer is to use https://github.com/amoffat/sh
- Show HN: Clamshell- an experimental Python based shell
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Useful Python Modules for us
pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Sh sh and outside python, watch watch
typer
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
- Typer: Python library for building CLI applications
- Copilot for your GitHub stars
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Things I've learned about building CLI tools in Python
I have been using Typer on every one of my CLI projects which uses Click under the hood. The documentation is fantastic, the CLI app it produces looks great and lets you create things quickly. I high recommend it.
https://typer.tiangolo.com/
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Things to do with standalone script
Adding CLI capabilities. My preferred library here is typer.
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Where to start for managing a Python code base for public distribution
I just heard about this but it seems to be pretty much the type of thing you want and want fast.
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Help on Docstrings
Docstrings are for documenting how a function/ class/ method/ module works. Often you don't need to add a docstring to your main function because no one will be importing it to use elsewhere. And if you want it to run as a CLI, then there are better ways to document the available options. For example, typer does most of it for you, or in click you add the help text to the decorator.
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Which best practices do you follow to build robust & extensible ETL jobs?
Most computing tasks in airflow DAGs are KubernetesPodOperator containing a CLI (Python Typer). It allows us to pass arguments easily to run DAG manually if needed (the new UI to pass arguments to DAG in airflow 2.6 is really nice). Arguments allow us to replay DAG easily (change start / end dates for instance).
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Devs on teams that deploy anytime you want, what does your SDLC workflow look like?
So it's basically the main .gitlab-ci.yml file plus a separate Python CI app using Typer for the AWS instrumentation.
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The different uses of Python type hints
Similarly for Typer, which is literally "the FastAPI of CLIs"[1]. Handy to type your `main` parameters and have CLI argument parsing. For more complicated cases, it's a wrapper around Click.
[1] https://typer.tiangolo.com/
What are some alternatives?
Delegator.py - Subprocesses for Humans 2.0.
click - Python composable command line interface toolkit
envoy
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
sarge
Gooey - Turn (almost) any Python command line program into a full GUI application with one line
tkterminal - Terminal widget for Tkinter library.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
zx - A tool for writing better scripts
cement - Application Framework for Python