Jupyter Magics with SQL
https://towardsdatascience.com/jupyter-magics-with-sql-921370099589
Jupyter/IPython notebooks can be used for an interactive data analysis with SQL on a relational database. This fuses together the advantages of using Jupyter, a well-established platform for data analysis, with the ease of use of SQL and the performance of SQL engines.
Jupyter magic functions allow you to replace a boilerplate code snippets with more concise one. Let’s explore Jupyter SQL magic that allows us to interact with Presto or any other relational databases.
Jupyter Magics with SQL
May 29, 2018, 11:19pm UTC
https://towardsdatascience.com/jupyter-magics-with-sql-921370099589
> Jupyter/IPython notebooks can be used for an interactive data analysis with SQL on a relational database. This fuses together the advantages of using Jupyter, a well-established platform for data analysis, with the ease of use of SQL and the performance of SQL engines.
> Jupyter magic functions allow you to replace a boilerplate code snippets with more concise one. Let’s explore Jupyter SQL magic that allows us to interact with Presto or any other relational databases.