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JupyterLab is up and running in your environment (e.g. local machine). See here for details.
Syndeia Cloud 3.6 is up and running in your enterprise environment and accessible to you. You should be able to log in to Syndeia Cloud Web Dashboard with your username and password.
Download the following from the Syndeia Downloads page that was provided to you in response to your license/download request on our helpdesk
Syndeia Cloud Python client
syndeia_cloud_36x_client_sdk-3.6.0-py_0.tar.bz2
syndeia_cloud_36x_client_sdk-3.6.0-py_0_docs.zip
Syndeia Cloud API Cookbook
Syndeia_Cloud_API_Cookbook_3.6_Release_2024-04.zip
Review the Syndeia Cloud API Overview page in your Syndeia Cloud Web Dashboard. See here for details.
Review the Syndeia Cloud Swagger doc in your Syndeia Cloud Web Dashboard. See here for details.
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Install the Syndeia Cloud Python Client as described here.
Unzip the Syndeia Cloud API Cookbook. You will see the following Jupyter notebooks included with this release
The General folder includes 2 notebooks
Hello_Syndeia_Cloud_3.6 provides a gentle introduction to using the Syndeia Cloud API.
Syndeia_Cloud_3.6_Analytics builds on the above notebook and provides examples of analytics
The Repositories folder includes notebooks demonstrating the tool/repository integrations in Syndeia Cloud
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
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
Syndeia_Cloud_3.6_Jama demonstrates the use of Syndeia Cloud API to fetch data from Jama Connect repositories
Syndeia_Cloud_3.6_JIRA demonstrates the use of Syndeia Cloud API to fetch data from Jira repositories
Syndeia_Cloud_3.6_TestRail demonstrates the use of Syndeia Cloud API to fetch data from TestRail repositories
Syndeia_Cloud_3.6_TWC demonstrates the use of Syndeia Cloud API to fetch data from Teamwork Cloud repositories
Syndeia_Cloud_3.6_Windchill demonstrates the use of Syndeia Cloud API to fetch data from Windchill repositories
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.
Code Block conda install pandas conda install plotly conda install jinja2 conda install nbformat
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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