pydantic-to-typescript
taskipy
pydantic-to-typescript | taskipy | |
---|---|---|
3 | 9 | |
239 | 420 | |
- | 1.4% | |
0.0 | 6.8 | |
4 months ago | 5 months ago | |
Python | Python | |
MIT License | MIT License |
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pydantic-to-typescript
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Which not so well known Python packages do you like to use on a regular basis and why?
Bit niche, but I like using pydantic-to-typescript (https://github.com/phillipdupuis/pydantic-to-typescript) to automatically generate typescript definitions for my fastapi apps. Or any app which uses pydantic models.
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pydantic-to-typescript: a simple CLI tool for converting pydantic models into typescript interfaces
Complete documentation, examples, and the source code can all be viewed here: https://github.com/phillipdupuis/pydantic-to-typescript
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Python & Typescript
There are also some packages out there for converting the types directly into their typescript equivalents: https://github.com/phillipdupuis/pydantic-to-typescript/
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
```
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
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Toolz - A functional standard library for Python.
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
wheezy.template - A lightweight template library.
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
yamlpath - YAML/JSON/EYAML/Compatible get/set/merge/validate/scan/convert/diff processors using powerful, intuitive, command-line friendly syntax.
opyrator - 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
plumbum - Plumbum: Shell Combinators
dynamoquery - Python AWS DynamoDB ORM
zpy - Zsh helpers for Python venvs, with uv or pip-tools
enforce - Python 3.5+ runtime type checking for integration testing and data validation
requests-html - Pythonic HTML Parsing for Humans™