Teaching resources: David P. Sanders

These are some of the teaching resources that I have developed during the last few years.

Julia tutorials

Invitation to intermediate Julia: JuliaCon 2016

Video: https://www.youtube.com/watch?v=rAxzR7lMGDM

Notebooks: https://github.com/dpsanders/intermediate_julia

Hands-on Julia: Paris, 2015

https://github.com/dpsanders/hands_on_julia

Invitation to Julia: JuliaCon 2015

Video: https://www.youtube.com/watch?v=gQ1y5NUD_RI

Notebooks: https://github.com/dpsanders/invitation_to_julia

Introduction to Julia: SciPy 2014

Video: https://www.youtube.com/watch?list=PLP8iPy9hna6T0dEHtj0GZymvT6ODIJWj0&v=vWkgEddb4-A

Notebooks: https://github.com/dpsanders/scipy_2014_julia

Lecture notes (Spanish)

Física Computacional

https://github.com/dpsanders/fisica_computacional

Métodos numéricos rigurosos

https://github.com/lbenet/MetodosNumericosAvanzados

Métodos computacionales para la física estadística

https://github.com/dpsanders/metodos-monte-carlo

Scientific software development

Mainly in collaboration with Luis Benet, we have developed several software packages for and rigorous computation with Julia:

Validated Numerics (interval arithmetic)

https://github.com/dpsanders/ValidatedNumerics.jl

Taylor series

https://github.com/JuliaDiff/TaylorSeries.jl

Interval constraint programming

https://github.com/dpsanders/IntervalConstraintProgramming.jl

Last modified: 29 August 2016