taskipy
Toolz
| taskipy | Toolz | |
|---|---|---|
| 9 | 23 | |
| 423 | 4,521 | |
| 2.1% | 0.6% | |
| 4.9 | 3.9 | |
| 6 days ago | 10 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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
-
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
-
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
-
This Week In Python
taskipy – complementary task runner for python
- Taskipy: The Complementary Task Runner for Python
-
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.
-
No-op statements syntactically valid only since Python X.Y
```
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.
-
Top python libraries/ frameworks that you suggest every one
taskipy
- Writing Makefiles for Python Projects
Toolz
- Ask HN: How can I get better at writing production-level Python?
-
[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
My favourite lib would probably be toolz, it's just so elegant and fun to use. But it's more functional approach is not always the best fit for the time, so in practice I mostly use it in research, prototyping, console and notebooks.
- REBL
-
What are the best ways to learn Python and Pyspark for ML engineering?
I am not new to Python but only used it to write scripts. Should I start a Python book and then a PySpark book or go directly to PySpark? When reading the legacy code, I found there are usages like GitHub - pytoolz/toolz: A functional standard library for Python. I never heard of.
- Toolz: A Functional Standard Library For Python
- Functional python for data process
-
Top python libraries/ frameworks that you suggest every one
toolz is wildly useful https://github.com/pytoolz/toolz
-
Show HN: Koda, a Typesafe Functional Toolkit for Python
Maybe the toolz[0] family would cover your use cases? There is also a Cython implementation if you need better performance.
[0] https://github.com/pytoolz/toolz/
- What're the cleanest, most beautifully written projects in Github that are worth studying the code?
-
Functional programming beyond itertools
You'll probably enjoy toolz.
What are some alternatives?
wheezy.template - A lightweight template library.
funcy - A fancy and practical functional tools
yamlpath - YAML/JSON/EYAML/Compatible get/set/merge/validate/scan/convert/diff processors using powerful, intuitive, command-line friendly syntax.
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
plumbum - Plumbum: Shell Combinators
CyToolz - Cython implementation of Toolz: High performance functional utilities
zpy - Zsh helpers for Python venvs, with uv or pip-tools
Pyrsistent - Persistent/Immutable/Functional data structures for Python
requests-html - Pythonic HTML Parsing for Humans™
Coconut - Simple, elegant, Pythonic functional programming.
snoop - A powerful set of Python debugging tools, based on PySnooper
returns - Make your functions return something meaningful, typed, and safe!