From the course: Complete Guide to Advanced SQL Server
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Work with Jupyter Notebooks - SQL Server Tutorial
From the course: Complete Guide to Advanced SQL Server
Work with Jupyter Notebooks
All right. Welcome back. The installation of the Python client tools has completed. It took about 15 minutes on my computer to wrap everything up. Now, I have a collection of Python packages and a Python script interpreter all set up on my computer. The main program that data scientists use for writing Python scripts is called Jupyter. So let's take a look at that. I'm going to come down to my start menu, and you'll either find it underneath a heading of recently added, or you might have to scroll down until you get to the J area and find Jupyter Notebook there. I'm going to allow it to make changes to my computer. Now, Jupyter is a web application, so after a moment it should open up in your default web browser. The first thing that you'll see are a couple of sample scripts that came with the installation materials that Microsoft provided us with. Each of these files are called a notebook, and if you click on one, I'll click on this one here called plot_categorical_features, it'll…
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Contents
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Write and execute a stored procedure7m 43s
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(Locked)
Stored procedure input parameters7m 38s
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Stored procedure output parameters3m 38s
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Create a database trigger3m 37s
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Challenge: Use function in a stored procedure1m 25s
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Solution: Use function in a stored procedure7m 43s
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What is error handling?1m 52s
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Capture errors with TRY and CATCH4m 54s
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Generate errors with THROW4m 12s
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Manage transaction control4m 4s
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Challenge: Add error handling to a stored procedure1m 12s
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Solution: Add error handling to a stored procedure12m 12s
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Automate SQL Server with triggers1m 48s
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What are SQL Server triggers?3m 37s
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Two triggers types: INSTEAD OF and AFTER2m 34s
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Create a trigger to print a message6m 17s
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Timestamp a table modification5m 31s
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Firing INSTEAD OF triggers3m 23s
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Challenge: Create a trigger58s
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Solution: Create a trigger7m 10s
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The Anaconda open-source packages7m 27s
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Functions in the revoscalepy package1m 48s
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Model, train, and score with microsoftml1m 16s
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Produce graphics with Matplotlib7m 53s
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Get descriptive statistics with pandas7m 45s
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Challenge: Sample a DataFrame1m 12s
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Solution: Sample a DataFrame5m 21s
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Return values with indexes and series6m 8s
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Convert a series to a DataFrame4m 40s
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Add multiple series to a DataFrame3m 12s
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Include the index in a DataFrame4m 44s
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Slice a DataFrame to series4m 23s
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Challenge: Import and process data52s
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Solution: Import and process data6m 44s
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GameScore database final project setup2m 38s
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Create a trigger to add points to player records6m 30s
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Calculate global score with custom function4m 7s
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Write a stored procedure: Part 16m 19s
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Write a stored procedure: Part 24m 44s
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Add error handling and test the system: Part 16m 14s
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Add error handling and test the system: Part 25m 52s
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