This is the Welcome page for Numpy Scientific Computing of the site. The index lists applications of Numpy in Scientific Computing. Using basic high-school level physics, math, and chemistry concepts, NumPy programs are developed to connect the basic scientific concepts to software development.

The output of the programs is shown in tabular format and line plots using Matplotlib visualizaion software.

These Numpy Scientific Computing programs utilize JupyterLite notebook, which permits the visitors to run the example programs interactively in their own browser.

Check-out this tutorial.ipynb page to learn how to use the JupyerLite based programs. The programs can be run by pressing Shift+Enter together. In the small dialog box “Select Kernel”, select “Python (Pyodide)” from the drop down menu.