With the extraction of the handling of user interface components, users can now have completely customized frontends for their implementation. All of the entry points are documented to perform the steps required.
- Title Page
- Copyright and Credits
- Packt Upsell
- Contributors
- Preface
- Introduction to Jupyter
- Jupyter Python Scripting
- Jupyter R Scripting
- Jupyter Julia Scripting
- Jupyter Java Coding
- Jupyter JavaScript Coding
- Adding JavaScript scripting to your installation
- JavaScript Hello World Jupyter Notebook
- Basic JavaScript in Jupyter
- JavaScript limitations in Jupyter
- Node.js d3 package
- Node.js stats-analysis package
- Node.js JSON handling
- Node.js canvas package
- Node.js plotly package
- Node.js asynchronous threads
- Node.js decision-tree package
- Summary
- Jupyter Scala
- Jupyter and Big Data
- Interactive Widgets
- Sharing and Converting Jupyter Notebooks
- Multiuser Jupyter Notebooks
- What's Next?
- Other Books You May Enjoy
Custom frontends
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