Mathematical Python

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Mathematical Python is an introduction to mathematical computing including:

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

Notebooks

Mathematical Python is a collection of Jupyter notebooks and are available at:

If you have a UBC CWL:

Prerequisites

We assume the reader has completed undergraduate courses in:

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

Author

Patrick Walls is an instructor in the Department of Mathematics at the University of British Columbia and teaches mathematical computing, differential equations and vector calculus for mechanical engineering.

Feedback

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.

Acknowledgements

Thank you ...

License

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

Last Modified

Wed  4 Dec 2019 17:20:04 PST