PyGWalker A Python Library for Exploratory Data Analysis with Visualization
LiteStar is a powerful, flexible yet opinionated ASGI framework, focused on building APIs, and offers high-performance data validation and parsing, dependency injection, first-class ORM integration, authorization primitives, and much more that's needed to get applications up and running.
appeal is a command-line argument processing library for Python, like argparse, optparse, getopt, docopt, Typer, and click. But Appeal takes a refreshing new approach.
A passionate Python developer and advocate for open-source software. With extensive experience in software development, I aim to share my knowledge and help fellow developers excel.
Some additions:
ASGIframework, focused on building APIs, and offers high-performance data validation and parsing, dependency injection, first-class ORM integration, authorization primitives, and much more that's needed to get applications up and running.Never heard of PyGWalker, but looks great, thanks for sharing!
It is pretty new, Python Bytes 326 has a short intro
Also have a look at Shiny Shiny for Python - Talk Python Live Stream
Will do! Thanks!
The new tech is 100% better
it really is refreshing to see some new tools!
Super cool perspective - the new will,, at some point, have to replace the old; that's how life works 🙃
Awesome article and things brings out a great perspective. I've used all the old tech 😂.
Great to learn about the new python OSS tools!
Nice perspective! Actually i use application which are open source like instade of PHOTOSHOP I use GIMP which is great too!
Oh thanks for the share, I will check that out!
RainbowCSV saved me from being blind
Hahaha same
Always good to check what’s newwww 👍🏼
Great stuff mate and for C# devs like me I am getting into github.com/microsoft/semantic-kernel/ and github.com/microsoft/kernel-memory but they are very much a work in progress it seems.
Is that Ed Truck?
Great stuff!
Nice article!
Ow, really nice! I did know all the mainstream ones, but none of the new... Thank you so much for this article