This is the welcome page for Numpy Scientific Computing of the site. The index lists applications of Numpy in Scientific Computing. The site uses basic high-school-level physics, math, and chemistry concepts to develop NumPy programs to connect the basic scientific concepts to software development.
The programs show the output of the programs in tabular format and line plots using Matplotlib visualization 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.
You can run the programs by pressing Shift+Enter together followed by the steps below:
- A small drop-down dialog box named “Select Kernel” will appear on the screen when you press Shift+Enter.
- Select “Python (Pyodide)” from the drop down menu.
- The program will run once you select “Python (Pyodide)”.
