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Matthew Rocklin Distributed Data Science for Humans with Dask | JupyterCon 2023
Discover how Dask and Jupyter Lab bring interactive computing to large-scale data science, enabling real-time diagnostics, visualization, and customization for optimized workflows and better collaboration.
- Computing sucks, and it’s especially true for distributed computing, but interactivity can make it less painful.
- Dask is a Python library that can handle large-scale computing and data processing.
- Users want interactive computing experiences, and Jupyter Lab provides a canvas for them to visualize and interact with their data.
- Distributed computing can be memory-intensive and pose challenges, but Dask and Jupyter Lab can help manage it.
- Jupyter Lab and Dask can be used together to scale out computation and parallelize workloads.
- Users should define their own workspaces and customize their environments for better collaboration.
- Dask and Jupyter Lab can help create real-time diagnostics and visualization for complex computations.
- It’s essential to provide feedback to users about the status of their computation, and Jupyter Lab does this well.
- Jupyter Lab and Dask can be used to create custom dashboards for users to visualize their data.
- Users should be able to dynamically update and customize their workspaces, and Jupyter Lab allows this.
- Dask can handle large-scale data computations, and Jupyter Lab provides a platform for users to interact with their data.
- Customizing Jupyter Lab and Dask can help users optimize their workflows for better performance.
- Companies like Coiled, Nebari, and Domino Datalabs are working on integrating Dask with Jupyter Lab.
- Jupyter Lab and Dask can be used to create interactive console type visualizations.
- It’s essential to provide users with real-time feedback and diagnostics, and Jupyter Lab does this well.
- Jupyter Lab and Dask can be used to create custom plots and visualizations.
- Dask can handle large-scale data computations, and users should be able to dynamically update and customize their workflows.
- Companies should work on integrating Jupyter Lab with Dask to provide users with better interactive computing experiences.