Getting Data and Code into Your Notebooks

Now that we’ve discussed how to install and work with Polyglot Notebooks to perform basic operations, let’s investigate loading different data sources into your notebook.

In order to perform data analysis or machine learning at any scale, you’ll need to be able to work with the files, formats, and query languages used by different data sources.

You’ll also need to be able to pull in other code files and libraries so that you can work with larger objects and previously existing pieces of code.

In this chapter, we’ll cover the following:

• Importing code and NuGet packages
• Reading CSV data
• Getting JSON data with PowerShell
• Building DataFrames from objects
• Connecting to databases with SQL
• Querying Kusto clusters with KQL