If you're new to programming, I recommend checking out "Think Julia: How to Think Like a Computer Scientist" by Ben Lauwens and Allen Downey. The book has both a free online version and a printed edition published by O'Reilly.

- Access "Think Julia: How to Think Like a Computer Scientist" here: https://github.com/BenLauwens/ThinkJulia.jl

For individuals transitioning from other high-level scientific languages such as Python, R, or Matlab, "Julia as a Second Language: General purpose programming with a taste of data science" by Erik Engheim is a valuable resource. You can also quickly understand the language differences through the Julia documentation page:

- Explore Noteworthy Differences from other Languages: https://docs.julialang.org/en/v1/manual/noteworthy-differences/

If you're looking for practical guidance, consider the following tutorials:

- "Julia Programming: A Hands-On Tutorial" available at https://www.matecdev.com/posts/julia-tutorial-science-engineering.html

- "From zero to Julia!" accessible through https://techytok.com/from-zero-to-julia/

- "The Julia Express" found at https://github.com/bkamins/The-Julia-Express?tab=readme-ov-file

For a more hands-on experience, you can find useful cheat sheets online, such as:

- https://cheatsheet.juliadocs.org/