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Thomas Boyer Chammard Sending Rovers to Mars with Jupyter | JupyterCon 2023
Here is the meta description: Sending Rovers to Mars with Jupyter: Explore how Jupyter can be used as a multi-domain engineering tool for space exploration, integrating with other services for powerful testing procedures and automation.
- Jupyter can be used as a multi-domain engineering tool, not just for data science, scientific computing, and education.
- Integrating Jupyter with other services allows for powerful testing procedures and streamlining of engineering workflows.
- Custom Jupyter extensions can be built to address specific requirements, such as testing procedures for space exploration.
- Jupyter’s flexibility and customizability make it a valuable tool for integrating narrative with code and enabling automated testing.
- Papermill can be used to programmatically execute Jupyter notebooks with injected parameters, allowing for automation of testing procedures.
- Integration with other services, such as GitHub, allows for version control and collaboration.
- Jupyter can be used as a platform for modeling and simulation, allowing for analysis and visualization of complex systems.
- Remote execution of Jupyter notebooks allows for offline analysis and reduced data transfer.
- Reducing manual steps in workflows can improve efficiency and accuracy.
- Using Jupyter for testing purposes requires a rigorous testing approach with clear procedures.
- Collaboration features in Jupyter allow for co-authoring and co-editing of notebooks.
- The strengths of Jupyter for engineering practices include its flexibility, customizability, and ability to integrate with other services.