Online Resources

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

• Matlab student tutorials
• TutorialsPoint.com
• Matlab tutorial

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.