### Linux/Unix

- BYU Fulton Supercomputing Laboratory: See the documentation section for a good unix tutorial among other good tools for scientific computing.
- Bash Guide for Beginners.

### Python

- Anaconda: Has all of python in one easy install: Jupyter, Spyder, Numpy, Scipy, Matplotlib, etc.
- Jupyter Notebook: A nice, interactive online python environment for scientific computing.
- iPython Cookbook.
- Scipy: Scientific python packages.
- Scientific Python lectures Scientific Python Lectures.
- Python Cookbooks: lots of good python examples for numpy, scipy, plotting, GUIs, etc.
- Sympy: symbolic math library.
- Numpy for Matlab users . Also, here is another one.
- Spyder: a good python development environment.
- xlwings: replace VBA with python: a python interface to Excel!
- Sage: Interface to many python packages, and other including R.
- Pandas: Data analysis library. (Excel++).
- Numba: Make Python fast. Here’s the main Numba site.
- Cython: Make Python fast, and interface Python with C.
- See also the online references on the Scientific Python Summary.
- Mark Redd’s Python Book

### Julia

- Learn X in Y minutes where X=Julia
- Julia tutorials
- A deep intro for data science and scientific computing
- A good list
- Think Julia (book)

### Matlab Tutorials

### Other

- Mathtools.net : A wide range of numerical resources in various languages/environments.
- CFD-online.com: An online center for computational fluid dynamics resources.
- Cantera: A suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and/or transport processes. Does equilibrium, multiphase, and non- ideal. This is great for Chemical Engineers. It can be used from Python, MATLAB, C++, or Fortran.
- LaTeX: A collection of useful LaTeX manuals and resources.
- LYX: A document processor for LaTeX giving all the nice output with less LaTeX know-how.
- SUNDIALS: Suite of nonlinear differential algegraic equation solvers. Good for stiff ODEs.
- LAPACK: The successor to LINPACK, and the industry standard for solving linear systems and eigenproblems. This may already be installed on your system.
- NETLIB: is a large collection of mathematical software, papers, and databases.
- GAMS: A cross-index and virtual repository of mathematical and statistical software components of use in computational science and engineering from NIST.
- IMSL: Commercial and comprehensive software libraries including hundreds of routines for many programming languages.
- NAG: Commercial and comprehensive software libraries analogous to IMSL.
- Numerical Recipes Software: Commercial code, goes with the Numerical Recipes book. Many routines in many languages available.