fastapi-crudrouter
Dask
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| fastapi-crudrouter | Dask | |
|---|---|---|
| 4 | 32 | |
| 1,302 | 11,982 | |
| - | 1.5% | |
| 0.0 | 9.7 | |
| 6 months ago | 4 days ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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fastapi-crudrouter
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why when I search for Python jobs I find alot! but when I search for Django (the most used Python framework ) I get few compared to spring or nodejs ?
FastAPI does have an equivalent. Something like this? https://github.com/awtkns/fastapi-crudrouter
- FastAPI CRUD Router
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FUNCTOOLS CHANGED MY LIFE
I can't show any pics cuz of uk NDA and all that. I can tell you the gist of it though. FastAPI is already pretty good at the abstraction part. Our middleware had a lot of rerouting and it was basically just a bunch of redundant functions. I just used this cool ass package https://fastapi-crudrouter.awtkns.com/ and used the partial function from functools to generate endpoints for every scenario/db tables.
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FastAPI framework, high perf, easy to learn, fast to code, ready for production
Thanks, that's a really helpful example.
Where I think this could be taken to the next level of reusability is in modularising the front-end into API-specific components. For example, the login behaviour could depend on FastAPI-Users, with a sibling frontend library containing components that implement the same login flow. Adding user behaviour is then a matter of using the same third-party library on the front and back end.
This approach could be extended to other components such as an admin panel (perhaps using https://github.com/awtkns/fastapi-crudrouter), or a blogging component.
Dask
- The Distributed Tensor Algebra Compiler (2022)
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A peek into Location Data Science at Ola
Data scientists work on phenomenally large datasets, and Dask is a handy tool for exploration within the confines of a single cloud VM or their local PCs. Location data visualization is an essential part of deciding further algorithm development and roadmap for projects. This lays the foundation for data engineering and science to work at scale, with petabytes of data.
- File format for large data with many columns
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What is the best way to save a csv.file in number only ? PC hangs when my file is more than 2GB
Dask
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Large Scale Hydrology: Geocomputational tools that you use
We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk.
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msgspec - a fast & friendly JSON/MessagePack library
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec.
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What does it mean to scale your python powered pipeline?
Dask: Distributed data frames, machine learning and more
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Data pipelines with Luigi
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:
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Is Numpy always more efficient than Pandas? And how much should we rely on Python anyway?
Look into Dask, see: https://dask.org/
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Ask HN: Is PySPark a Dead-End?
[1] https://dask.org/
What are some alternatives?
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Flask-AppBuilder - Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
Numba - NumPy aware dynamic Python compiler using LLVM
fastapi-users - Ready-to-use and customizable users management for FastAPI
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
mangum - AWS Lambda support for ASGI applications
NetworkX - Network Analysis in Python
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
aiomultiprocess - Take a modern Python codebase to the next level of performance.
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python