Jupysql - full SQL client on Jupyter. It allows you to run SQL and plot large
datasets in Jupyter via a %sql and %%sql magics. It also allows users to plot
the data directly from the DB ( via %sqlplot magics).Jupysql facilitates working with databases and Jupyter. You can download it
here or run a pip install jupysql.
You can consider an option to interact with MindsDB directly from MySQL CLI or Postgres CLI.
Now that you are all set, we recommend you check out our Tutorials and
Community Tutorials sections, where you’ll find various examples of
regression, classification, and time series predictions with MindsDB.To learn more about MindsDB itself, follow the guide on
MindsDB database structure. Also, don’t miss out on the
remaining pages from the SQL API section, as they explain a common SQL
syntax with examples.Have fun!