# Supplementary material¶

## Unix¶

Software carpentry: Online “lesson” from the popular software carpentry program.

https://en.wikipedia.org/wiki/List_of_Unix_commands: Self-explanatory

## Git¶

Online Git tutorial: Excellent, quick, simple online tutorial – everyone should try this!

Software carpentry: Another online “lesson” from software carpentry

Git cheat sheet (pdf): Summary of commonly used git commands.

## Python¶

Official Python tutorial Sections 3 and 4 complement Python videos 1 and 2.

Official Numpy reference See in particular the section on Routines, and the subsections on Random sampling, Mathematical functions, and Searching, sorting, and counting.

A Primer on Scientific Programming with Python by H.P. Langtangen: A comprehensive textbook on programming and scientific computing with Python

### Complex Networks¶

NetworkX documentation (Tutorial + Reference)

Network Science by A.-L. Barabasi, excellent introductory text freely available online.

### Optimization¶

scipy.optimize online documentation

Numerical Optimization by Nocedal & Wright: standard text on optimization methods

Convex optimization Freely available online text on optimization theory.

### Fortran¶

Programming in Fortran Self Study Guide (pdf): A nice introduction to programming in modern Fortran which provides many details omitted from class lectures.

Built-in routines in gfortran: List and descriptions of intrinsic routines in gfortran. A few of these will be helpful for assignments.

### OpenMP¶

OpenMP quick reference (pdf): Overview of OpenMP directives and routines. Most of the directives should be familiar, but there is also a fair amount of other material that hasn’t been covered! Note the peculiar page-numbering.

Tutorials and technical articles: Tutorials of varying quality and length collected at the offical openmp webpage. Contains link to a nice overview (pdf) though many Fortran examples appear to be in Fortran 77!

### MPI¶

MPI: The complete reference: Online reference book on MPI

The universal reference for MPI is the book *Using MPI* by Gropp, Lusk, and Skjellum.