Currently, Pyodide focuses on basic Python usage. To improve the learning experience, especially for data analysis and scientific computing, we should extend support to commonly used scientific & data libraries that are compatible with Pyodide.
The following libraries are known to work well with Pyodide:
- numpy
- pandas
- scipy
- sympy
- matplotlib
- seaborn
- scikit-learn (limited use cases)
Goals
- Expand the Python playground capabilities for data & scientific use cases
- Keep everything runnable directly in the browser without installation
Currently, Pyodide focuses on basic Python usage. To improve the learning experience, especially for data analysis and scientific computing, we should extend support to commonly used scientific & data libraries that are compatible with Pyodide.
The following libraries are known to work well with Pyodide:
Goals