It’s time for the T-SQL Tuesday blog party, and I’m hosting this month. I don’t host too often, but since I had some schedule mix ups, I’ll handle this month. Read the invitation below and then write your post for next Tuesday, Apr 13.
If you want to host a T-SQL Tuesday, let me know. You can ping me on Twitter.
I first heard about Jupyter Notebooks years ago. At the time I was just getting started in Python and I thought these were a great way to share code online with others. However, the setup and administration was a pain, and I quickly gave up.
When I saw Microsoft add notebooks to Azure, I got slightly excited again, but once again, it was a bit of a pain to work with these. Too much administrative overhead, in my opinion.
That changed a bit with Azure Data Studio, which has seen notebooks get added, and become easier and more stable. If you haven’t tried notebooks, get ADS and give it a try today. I even wrote a short piece on using these.
For this month’s T-SQL Tuesday, I want you to write about how you have used, or would like to use, a Jupyter notebook. This seemed to be exciting for many people at first, but I haven’t seen a lot of uptake from users in general. So I’m curious if you are using them.
A few resources for you:
- Using Jupyter Notebooks in ADS
- Knowledge Sharing with SQL Notebooks
- Running Jupyter Notebooks as Agent Jobs
- Building and sharing Jupyter Books in Azure Data Studio
There is even a way to run these from PowerShell.
So let me know how you are using notebooks, or your plans for the future.
Publish your post sometimes on 13 Apr, UTC time.
Publish your post sometime on 13 Apr 2021, UTC time.
Leave a comment or traceback on this post.
Use the T-SQL Tuesday logo at the top of this post in your post and link that back to this invitation.
Spread the word.