How to build and solve decision making problems using the POMDPs.jl ecosystem of packages
Data, Methods, and Visualizations for Data Science in Julia
A course for people who are hesitant but curious about learning to write code in Julia.
This course curriculum is designed with the objective of enabling beginner level programmers in getting up to speed with Julia
Learn about how to do computational modeling in the Julia programming language with applications focused on the COVID-19 Pandemic.
Introduction - Introduction (10:24)- Performance Overview (27:16)Optimizing Single-Core Performance - Serial Performance (43:49)- Single Instruction, Multiple Data (27:36)Parallel Strategies - Multithreading (52:04)- Parallel Algorithm Design (14:53)- Tasks (Co-routines) (19:23)- Distributed Computing (66:23)- GPUs (30:33)
In-memory tabular data in Julia: http://juliadata.github.io/DataFrames.jl/stable/