Access the Power of Maple Within Jupyter^®

See how data scientists are using the computational power of Maple in their projects.

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 %python for embedding Python^® computations in a Maple-Juptyer workbook
Through the integration with Maple, Jupyter workbooks can now draw on both Python and Maple content to maximize your productivity.