Learn BEAKERX with Real Code Examples

Built on top of Jupyter notebook architecture

Provides additional kernels for JVM languages

Adds interactive widgets and plotting libraries

Notebook cells executed via language-specific kernels

Integrates with existing Python and JVM ecosystems

Notebook interface from Jupyter

Cells executed via respective language kernels

Outputs rendered inline or via interactive widgets

Plots displayed using Java/Scala/Python libraries

Tables and forms allow real-time data interaction

Client-server notebook model (Jupyter)

Polyglot kernel integration for multiple languages

Interactive widgets embedded in cell outputs

Separation of code execution, visualization, and markdown

Supports modular polyglot notebook workflows

Interactive teaching notebooks in programming courses

Data exploration combining Python and JVM languages

Educational demonstrations with plots and widgets

Prototyping polyglot algorithms

Sharing notebooks for collaborative research

Extend Jupyter notebooks with polyglot capabilities

Provide interactive visualization and widgets

Support educational and research use cases

Leverage existing Python and JVM ecosystems

Enhance reproducibility and experimentation in notebooks

Small: single notebooks for teaching or prototyping

Medium: interactive polyglot notebooks with multiple widgets

Large: multi-language notebooks with plots and tables

Enterprise: use with JupyterHub or cloud-hosted servers

Global: open-source community contributions and usage

Open existing Jupyter notebooks in BeakerX

Install necessary kernels for polyglot features

Update libraries for interactive plotting

Test widgets and tables for functionality

Save notebooks in .ipynb format for sharing