# Numerical Computing Resources

## List Numerical Computing Software

* MATLAB
* Octave
* [SageMath](https://www.sagemath.org/) : open-source mathematics software system, builds on top of : NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more and using Python-based language or directly via interfaces or wrappers
* Julia

## Octave-based Course

* An introduction to programming with **Octave**: [OctaveAtBFH.pdf](https://web.sha1.bfh.science/Labs/PWF/Documentation/OctaveAtBFH.pdf) License: CC-BY
  * Codes used in the lecture notes [Codes](https://web.sha1.bfh.science/Labs/PWF/Codes)or in one file at [Codes.tgz](https://web.sha1.bfh.science/Labs/PWF/Codes.tgz).
  * Codes used in class [Demos](https://web.sha1.bfh.science/Labs/PWF/Demos)or in one file at [Demos.tgz](https://web.sha1.bfh.science/Labs/PWF/Demos.tgz)

## Julia-based Course

* [18.S191 Introduction to Computational Thinking](https://computationalthinking.mit.edu/Fall20/)
  * [mitmath/18S191: Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:](https://github.com/mitmath/18S191)
  * [Course Materials - Introduction to Computational Thinking with Julia, with Applications to Modeling the COVID-19 Pandemic - Mathematics - MIT OpenCourseWare](https://ocw.mit.edu/courses/mathematics/18-s190-introduction-to-computational-thinking-with-julia-with-applications-to-modeling-the-covid-19-pandemic-spring-2020/course-materials/)
* [Introduction to Applied Linear Algebra–Vectors, Matrices, and Least Squares](https://vmls-book.stanford.edu/)
  * [Julia Companion](https://vmls-book.stanford.edu/vmls-julia-companion.pdf)
  * [Julia and Python language notebooks](https://github.com/vbartle/VMLS-Companions)

## Julia-based Books

* [Julia for Data Science](https://www.david-anthoff.com/jl4ds/stable/) License CC-BY-NC-ND
* [Quantitative Economics with Julia](https://julia.quantecon.org/index_toc.html)

## Web-based Control Simulation

* [Collimator - Data driven design and simulation](https://www.collimator.ai/)


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