Resources

Web Sources

• “Best Practices for Scientific Computing” (Wilson et al. 2012)

• “What Every Programmer Should Know about Floating-Point Arithmetic” (Goldberg 1991)

• “What Every Programmer Should Know about Memory” (Drepper 2007)

• Bayesian Statistics using Julia & Turing (Storopoli; online version available for free)

• Julia Data Science (Storopoli et al.; online version available for free)

• Introduction to Parallel Computing (Blaise Barney)

• Introduction to High-Performance Computing by Eijkhout, Chow & van de Geijn (2006)

• Parallel Programming in MPI and OpenMP by Eijkhout (2017) –- pdf version –- source

• The Why’s and How’s of Licensing Scientific Code

• Docker Orientation

Julia

Pluto

Website tools

• Franklin.jl docs

• JuliaTutorialsTemplate