Return values with indexes and series

Analyze SQL Server data with Python

What you should know

Using the exercise files

What is machine learning services?

Install ML services for Python

Enable script execution in SQL Server

Use variables in Python

Create a Python while loop

Import a dataset from SQL Server

Manipulate a data frame

Output a result set to SQL Server

Python syntax pitfalls

Challenge: Import a data frame

Solution: Import a data frame

The Anaconda open-source packages

Functions in the revoscalepy package

Model, train, and score with microsoftml

Produce graphics with MatPlotLib

Get descriptive statistics with pandas

Challenge: Sample a data frame

Solution: Sample a data frame

Convert a series to a data frame

Add multiple series to a data frame

Include the index in a data frame

Slice a data frame to series

Challenge: Import and process data

Solution: Import and process data

Create a Python stored procedure

Parameterize the procedure

Challenge: Write a stored procedure

Solution: Write a stored procedure

Install MLS on a standalone server

Add development tools to the client

Work with Jupyter Notebooks

Next steps