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1. Install the Syndeia Cloud Python Client as described here.

2. Unzip the Syndeia Cloud API Cookbook. You will see the following Jupyter notebooks included with this release

   1. The General folder includes 2 notebooks

      1. Hello_Syndeia_Cloud_3.6 provides a gentle introduction to using the Syndeia Cloud API.

      2. Syndeia_Cloud_3.6_Analytics builds on the above notebook and provides examples of analytics

   2. The Repositories folder includes notebooks demonstrating the tool/repository integrations in Syndeia Cloud

      1. Syndeia_Cloud_3.6_DOORS-NG_Regular_Projects demonstrates the use of Syndeia Cloud API to fetch data from regular (non-CM enabled) projects in DOORS NG

      2. Syndeia_Cloud_3.6_DOORS-NG_CM_Enabled_Projects demonstrates the use of Syndeia Cloud API to fetch data from CM-enabled projects in DOORS NG

      3. Syndeia_Cloud_3.6_Jama demonstrates the use of Syndeia Cloud API to fetch data from Jama Connect repositories

      4. Syndeia_Cloud_3.6_JIRA demonstrates the use of Syndeia Cloud API to fetch data from Jira repositories

      5. Syndeia_Cloud_3.6_TestRail demonstrates the use of Syndeia Cloud API to fetch data from TestRail repositories

      6. Syndeia_Cloud_3.6_TWC demonstrates the use of Syndeia Cloud API to fetch data from Teamwork Cloud repositories

      7. Syndeia_Cloud_3.6_Windchill demonstrates the use of Syndeia Cloud API to fetch data from Windchill repositories

3. You may need to install several Data Science libraries into your chosen python Conda environment. We know that at least the following are likely. Install all reported missing imports, as needed.

4. Code Block
   conda install pandas conda install plotly conda install jinja2 conda install nbformat

5. Open the Hello_Syndeia_Cloud_3.6 notebook in JupyterLab and run each cell.

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The screenshot below shows a snippet from the Jira notebook available Syndeia_Cloud_3.6_Analytics.ipynb in the Syndeia Cloud API Cookbook.

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