cross-posted from: https://programming.dev/post/9470319

Martin D. Maas writes:

Julia is an is a general-purpose, open-source, dynamic, and high-performance language. By leveraging a clever design around a just in time (JIT) compiler, Julia manages to combine the speed of languages like C or Fortran, with the ease of use of Matlab or Python.

This is a hands-on tutorial series, which focuses on understanding the most important aspects of the language from a practical point of view, and focusing on the needs of scientists and engineers.

In particular, we won’t be introducing much more syntax or language features than what is required to solve the different problems we will be tackling.

As a quick reference, and if you have experience with Python or Matlab, it might be worth to check out the Matlab-Python-Julia Cheatsheet.

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Last updated: November 13, 2023

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