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Stephan Sahm - Jolin.io – Reactive Notebooks for Python
Discover Jolin.io, a platform for reactive notebooks, combining Jupyter and Julia. Explore interactive data experiments, collaborative work, and automation, and learn about the vision for unity in data science across companies.
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The speaker presents Jolin.io, a platform for reactive notebooks, initially focusing on Julia.
- Explains the concept of reactive notebooks, highlighting the combination of Jupyter and Julia.
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The demo showcases the notebook’s basic functionality, allowing users to interact with data experiments.
- A pie chart serves as an example, updating dynamically.
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Cloud.jolan.io provides a platform for collaborative work and deployment to a Kubernetes cluster.
- Explains the process of adding machines (e.g., extra 5 machines) to grant increased processing power.
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Discusses the vision and goals for Jolin.io, aiming to facilitate unity in data science across companies.
- Highlights the potential for targeting a specific market and partner with companies.
- The speaker shares his experience with Jolin.io, creating dashboards using data from various databases.
- He emphasizes the automation and interactivity aspects of the notebook, encouraging active participation and experimentation.
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Discusses the challenges faced during development and the plan for next steps.
- Specifies priorities for the next 1-2 months.
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The Q&A session touches upon topics like Python integration, data science in companies, big data support, and more.
- Encourages questions and feedback.