snoop
typer
snoop | typer | |
---|---|---|
7 | 88 | |
1,197 | 14,398 | |
- | - | |
0.0 | 8.7 | |
5 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.
snoop
- Show HN: A 100% free and interactive Python course for coding beginners
-
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
- Looking for app that visualizes python program
-
Top python libraries/ frameworks that you suggest every one
snoop or pysnooper
-
Stop Using print() for Debugging When You Can Snoop Instead
We have all used strategic print() statements in our code to make sure our code is running a certain line or to see the value of a variable. This gets a little sloppy and doesn't provide much context into why some code is not behaving as expected. Enter snoop, the super dead simple way to see exactly what the code is doing, the line of code that is executing, and when and what the values of local variables are. This can help us understand the flow of our code and identify issues much faster!
-
Icecream: Never use print() to debug again in Python
Try https://github.com/alexmojaki/snoop for both plus more.
typer
-
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
-
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/
-
Things to do with standalone script
Adding CLI capabilities. My preferred library here is typer.
-
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.
-
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.
-
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).
-
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.
-
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?
PySnooper - Never use print for debugging again
click - Python composable command line interface toolkit
python-devtools - Dev tools for python
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
Gooey - Turn (almost) any Python command line program into a full GUI application with one line
icecream - 🍦 Never use print() to debug again.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
py_better_exchook - nice Python exception hook replacement
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
panopticon - Python tracing module to visualize code execution.
cement - Application Framework for Python