JuliaWorkshopAISF
Julia is a relatively new programming language designed for scientific computation. It offers an interface as easy to use as Python’s but with performance comparable to static programming languages like C and Fortran.
Below is the scheduled program for the workshop conducted during the academic year 2024/2025. It may be subject to changes, so we invite you to stay updated by visiting this page.
The workshop consists of 4 lessons, each lasting 2 hours. The first two lessons will provide an introduction to Julia and its syntax. The third lesson will cover some utility packages in Julia. The final lesson will involve a more advanced application of the concepts learned in the previous lessons, specifically building a module to perform Monte Carlo simulations.
Lesson 0: Estimated Date 15/Apr/2025
- A brief Introduction to Julia, explaining what it is and why you should learn it.
- A guide to the Installation and Package Manager.
- An explanation of Types and Multiple Dispatch in Julia.
Lesson 1: Estimated Date 29/Apr/2025
- Learn about the different Scopes in Julia.
- Understand how to Control the Flow of execution.
- Explore Julia’s Macros and advanced usage of Functions.
- Learn about Julia’s Garbage Collector.
Lesson 2: Estimated Date 6/May/2025
This lesson focuses on utility packages, including:
- BenchmarkTools: A library with utility macros for benchmarking operations and functions.
- LoggingExtras: A library for more fine-grained control over logging output.
- Plots: A library for creating visualizations.
- hdf5: A library for interfacing with HDF5 files, commonly used to store large datasets.
Lesson 3: Estimated Date 12/May/2025
Develop your own module to perform a Monte Carlo simulation. The module is being developed in a seperate repo MCMC.jl