The first release of dask-sql as a @dask_dev-contrib member is out! Special thanks to rajagurunath for implementing all the cool new ML features and thanks to the @dask_dev community for accepting dask-sql as a contrib package!
After a short break here's part 13 of my "Creating an open source Python project from scratch" series.
π¨ This time I cover adding branding to your project.
I am definitely not a branding expert, this is about taking small steps to grow your project.
https://t.co/1DYzNhb9hh
@adbreind gave a very good talk on dask-sql on @pycon. Go check it out! https://t.co/CF5IrjzzHq
If you want to learn how to query your (big) data with SQL and Python, have a look!
Huge thanks to the @dask_dev summit organizers and presenters! It was awesome to see all the activity going on in and around the Dask ecosystem. Looking forward to the next summit π
In our latest blog:
Kevin Kho and Han Wang outline fugue-sql and walk us through code snippets showing its interactions with Python functions to create a powerful solution for distributed data analyst workflows performed on Coiled Cloud with Dask.
https://t.co/HGt49u6KKw
I am so excited to speak at the @dask_dev summit today about SQL query engines in Dask together with @tomekdrabas and Han! Register now if you do not want to miss all the fun :-) https://t.co/bclaGLNYgG
Did you get your ποΈ yet for the Dask Distributed Summit? @dask_dev
Join for an opportunity to listen, learn, and share knowledge about scaling Python analytics with Dask.
ποΈ May 19th - 21st
We'll be there. We hope you will, too!
Register here: https://t.co/FlH4ORvhMu
For #tsfresh I have now enabled the really cool @github discussion feature. Feel free to post your question, use-case, or feature discussion! We would be happy to hear from you!
https://t.co/v7aPkwjcPi
Ever wanted to apply SQL commands on your @pandas_dev data frames?
Have a look into https://t.co/yapPcPlomp (and it even scales to multiple nodes if you wantπ)
@davidasboth@fulhack We recently started dask-sql (disclaimer, I am the author) which is built for large-scale systems but can as well just run locally and with a "normal" pandas dataframe https://t.co/BHIg5h5qUw
@fulhack@benhamner I am 100% with you when it comes to understanding the details of an ML model - you probably want Python. But with things like AutoML getting better I think quick-and-dirty analyses in your BI tool of choice using ML will be feasible in SQL
FSD Beta has now been expanded to ~2000 owners & weβve also revoked beta where drivers did not pay sufficient attention to the road. No accidents to date.
Next significant release will be in April. Going with pure vision β not even using radar. This is the way to real-world AI.