This page is a tutorial on how to run the Numpy scientific computing programs with JupyterLite notebook. If you are not familiar with JupyterLite notebook, the information below will get you started to run the programs in these pages in your own browser.
This section includes applications of Numpy Scientific Computing in diverse areas. Based on basic high-school level physics, math, and chemistry concepts, the site develops NumPy programs to connect basic scientific concepts to software development. For example, the program examples on this site cover math, physics, and chemistry concepts.
The programs display the output in tabular format as well as line plots using Matplotlib visualization software.
This site develops several numpy scientific computing programs in the following disciplines of science.
Physics
- Newton’s Universal Law of Gravitation
- Atmospheric pressure decay with altitude
Chemistry
- Radioactive decay of isotopes
- pH vsrsus Hydrogen H+ ion concentration
Math
- Compound interest of investments (exponential growth)
These pages utilize JupyterLite notebook, which permits the visitors to run the example programs interactively in their own browser.
Check-out the tutorial.ipynb below to learn to run JupyerLite-based programs. The programs can be run by pressing Shift+Enter together.
After you enter shift and enter together, a small dialog box titled “Select Kernel” will appear on the screen with several options. Select “Python (Pyodide)” option from the drop down menu. The JupyterLite program will run once you click “Python (Pyodide)” option.
