Julia Resources
A collection of references, tutorials, and links for scientific computing using Julia.
Julia Resources
Julia Fundamentals
Books: Julia Language
- Think Julia, Allen B. Downey (O’Reilly, 2019)
- Julia as a Second Language: General Purpose Programming With a Taste of Data Science, Erik Engheim, (Manning, 2023)
Scientific Computing: Basic
Scientific Computing: Advanced
- Solving PDEs in parallel on GPUs with Julia, ETH
- Julia for high-performance scientific computing, ENCCS
- Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications, SciML Book, SciML Lectures
Books: Julia and Scientific Computing
- Numerical Methods for Scientific Computing: The Definitive Manual for Math Geeks, Kyle A. Novak
- Fundamentals of Numerical Computation: Julia Edition, Tobin A. Driscoll & Richard J. Braun. Git Repo
- Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language, Clemens Heitzinger
Machine Learning
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