The pages in this section includes applications of Numpy Scientific Computing in diverse areas. Using basic high-school level physics, math, and chemistry concepts, it develops NumPy programs to connect basic scientific concepts to software development.

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

Physics

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 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.

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