MSTICPy Lab

This repo contains the code and data for an interactive lab in which to learn about MSTICPy.
If you don't know anything about MSTICPy it is recommended that you start by reading our documentation over at ReadTheDocs

Once you understand what MSTICPy is you are ready to jump into the lab, the main component of which is a Jupyter Notebook.

What we will cover in the lab

In this lab you will learn about and use the main features of MSTICPy. The lab is split into several sections, each one focused on a key element of MSTICPy:

• Data Acquisition
• Data Enrichment
• Extracting Key Data
• Data Visualization
• Pivots in MSTICPy
• ML in MSTICPy

In each section you will have a set of guided examples that show you how the features works and how to call them. After the examples are short lab exercises for you to complete, these involve using the features you have just seen examples of. Don't worry if you can't complete any of the lab exercises, they are not required to move onto the next section. You can also view a completed version of the notebook here.

How to use the lab

If you wish you can download this repo and run the notebook locally. However, a much easier experience is to click the 'Launch Binder' button below to launch the lab using Binder this will load the notebook in a pre-configured environment that you can access straight from the browser without any setup required. The notebook contains all instructions and resources required for the lab.

If you have any questions or feedback, please open an issue or contact [email protected].

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.