Long time no video! Announcing the brand new de1 package! Check out the first video covering this, including the ZipFileDataSet to handle zip files in your kedro pipeline! https://t.co/XeRyp7RpZt
In this video, we demonstrate how to do groupbys on big pandas dataframes by creating a lazy evaluating dataset to evaluate each chunk!
https://t.co/IVgw5hxdxu
Do you build pipelines with Kedro?
Kedro's latest release includes a simple deployment guide and helpful script for orchestrating them with Prefect - check it out!
In this video, I explain what kedro is and why it's useful, in a non-technical way. Hopefully, this will help some of you data enthusiasts out there to explain why data pipelining is hard, and convince your teams to use kedro. https://t.co/ypzyBIQbnI
I love DataEngineerOne's enthusiasm for Kedro! You should check out his YouTube videos.
Kedro is a very powerful data engineering tool from @quantumblack that I've been appreciating more and more lately.
#dataengineering#Python
https://t.co/6f4qPb9gXF
And today was the Q&A for the "Handling Custom Jupyter Data Sources" talk with @DataEngineerOne.
Thank you for everyone who joined @JupyterCon. Hope you all learned loads!
And if you want to contribute for open source, join us next Saturday (Oct 17th) for the Kedro sprints!
We had so much fun at the AnalyticsClub at @ETH_en last night.
@DataEngineerOne hosted a 2h interactive Kedro workshop to the coolest (and smartest) students around.
What a way to celebrate @quantumblack's new office in Zurich!🥳🥳🥳
And thank you for the opportunity 🎖
Programming: 10% writing code. 90% figuring out why it doesn’t work
Analyzing data and ML: 1% writing code. 9% figuring out why code doesn’t work. 90% figuring out what’s wrong with the data
If you happen to be hanging out at @JupyterCon on this lovely Monday, make sure to check @DataEngineerOne 's talk on Handling Custom Jupyter datasources at 5pm UTC+1. Q&A will happen tomorrow Oct 13th. Stay tuned.
https://t.co/tRHyVOGGTd