taskipy
snoop
taskipy | snoop | |
---|---|---|
9 | 7 | |
423 | 1,197 | |
1.4% | - | |
4.9 | 0.0 | |
6 days ago | 5 months 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.
taskipy
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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
Taskipy
- GitHub - illBeRoy/taskipy: the complementary task runner for python
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This Week In Python
taskipy – complementary task runner for python
- Taskipy: The Complementary Task Runner for Python
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Which not so well known Python packages do you like to use on a regular basis and why?
I always use Taskipy https://github.com/illBeRoy/taskipy to run tasks in my applications, works really well with Poetry so when I am running my dev Flask/FastAPI server and Celery or running my tests or format my code it's all there.
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No-op statements syntactically valid only since Python X.Y
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In legacy (don't break anything) mode, there's still no reason to not switch. I export `requirements.txt` with poetry just for pip legacy reasons and it works great. If I just update some scripts, I could avoid it. It's running all the time in CI, it's exercised quite a bit.
What's wrong with just using pip and requirements.txt? There's no dev section. In addition, bumping deps is not the same. I have [a blog post](https://squarism.com/2021/09/10/sciencing-out-updates/) explaining semver updates to a python dev.
_my strong assertion:_ Python and Go missed it from the start. That's why it is so confusing. There's no other choice in Rust but Cargo. Rust devs are never confused on how to add a package, semver it. The answer is always Cargo. It's in the tutorial. It's in the book. It's in the culture.
I think I've heard that pip might support the pyproject spec, poetry already does. If you want scripts like npm, you can have that too with [taskipy](https://github.com/illBeRoy/taskipy). You don't have to.
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Top python libraries/ frameworks that you suggest every one
taskipy
- Writing Makefiles for Python Projects
snoop
- Show HN: A 100% free and interactive Python course for coding beginners
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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
- Looking for app that visualizes python program
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Top python libraries/ frameworks that you suggest every one
snoop or pysnooper
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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!
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Icecream: Never use print() to debug again in Python
Try https://github.com/alexmojaki/snoop for both plus more.
What are some alternatives?
Toolz - A functional standard library for Python.
PySnooper - Never use print for debugging again
wheezy.template - A lightweight template library.
python-devtools - Dev tools for python
yamlpath - YAML/JSON/EYAML/Compatible get/set/merge/validate/scan/convert/diff processors using powerful, intuitive, command-line friendly syntax.
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
plumbum - Plumbum: Shell Combinators
icecream - 🍦 Never use print() to debug again.
zpy - Zsh helpers for Python venvs, with uv or pip-tools
py_better_exchook - nice Python exception hook replacement
requests-html - Pythonic HTML Parsing for Humans™
panopticon - Python tracing module to visualize code execution.