Users of Jupyter Notebook and JupyterLab can now access the Maple kernel directly. Now you can combine solutions from Maple directly into your applications within the Jupyter integrated environment.
See how data scientists are using the computational power of Maple in their projects.
The new Maple Kernel for Jupyter is included in Maple and gives you:
Maple language in a Jupyter kernel
Your experienced Jupyter users can keep the familiar interface and file formats, such as LaTex and PNG, with no need to learn a new user interface when exploiting the power of the Maple computation engine.
Full support for Maple language and visualizations
The Maple kernel allows access to Maple commands for computations and also supports other output including 2-D and 3-D visualizations, Help queries, and even offers syntax-aware tab completion.
Tools for converting Maple worksheets to Jupyter workbooks
You can easily bring existing content from Maple into Jupyter using the built-in tools.
Magic keyword %pythonfor embedding Python® computations in a Maple-Jupyter workbook
Through the integration with Maple, it is now easier for Jupyter workbooks to draw on both Python and Maple content, maximizing your productivity.
Access the Power of Maple Within Jupyter®
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