ansi-styles-python
typer
| ansi-styles-python | typer | |
|---|---|---|
| 2 | 88 | |
| 2 | 14,398 | |
| - | - | |
| 0.0 | 8.7 | |
| almost 3 years ago | 7 days ago | |
| Python | Python | |
| - | MIT License |
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ansi-styles-python
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FINAL CUT alternatives - brick, notcurses, FTXUI, blessed, and ansi-styles-python
22 projects | 5 Sep 2021
ANSI escape codes for styling strings in the terminal.
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ANSI Escape Codes
If someone wants to do this in Python, I made a lib for it: pip3 install ansi-escapes
It’s a port of sindresorhus’s ansi-escapes library. I find it way more convenient than looking up codes.
https://github.com/shawwn/ansi-escapes-python
See also ansi-styles, the lib that Chalk is based on. (Colors! You like colors? Are you a curmudgeony salt that refuses to use Rich for some reason? Use that.)
As with ansi-escapes, you can just pip install ansi-styles.
https://github.com/shawwn/ansi-styles-python
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?
notcurses - blingful character graphics/TUI library. definitely not curses.
click - Python composable command line interface toolkit
Lanterna - Java library for creating text-based GUIs
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
Gooey - Turn (almost) any Python command line program into a full GUI application with one line
S-Lang - The S-Lang programming library is a software library for Unix, Windows, VMS, OS/2, and Mac OS X. It provides routines for embedding an interpreter for the S-Lang scripting language, and components to facilitate the creation of text-based applications.[3] The latter class of functions include routines for constructing and manipulating keymaps, an interactive line-editing facility, and both low- and high-level screen/terminal management functions. It is distributed under the terms of the GNU General Public License.
tig - Text-mode interface for git
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
musikcube - a cross-platform, terminal-based music player, audio engine, metadata indexer, and server in c++
cement - Application Framework for Python