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Mathematical Python


Mathematical Python is an introduction to mathematical computing including:

  • Jupyter notebooks, markdown and $\LaTeX$
  • Basic Python programming: datatypes, variables, logic, loops and functions
  • Scientific computing with NumPy, SciPy and Matplotlib
  • Applications in calculus, linear algebra and differential equations


We assume the reader has completed undergraduate courses in:

  • Differential calculus: derivatives, Taylor series and optimization
  • Integral calculus: integrals, Riemann sums, sequences and series
  • Linear algebra: vector and matrix operations, systems of equations, eigenvalues and eigenvectors
  • Differential equations: first and second order equations, Euler's method and systems of equations


Patrick Walls is Associate Professor of Teaching in the Department of Mathematics at the University of British Columbia.


Comments and suggestions are always welcome! Please contact Patrick Walls, make a pull request to the GitHub repo or share your thoughts in the Google form.


Thank you ...


Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Last Modified

August 16 2022 14:12 PST