Julia performance tips for FreeBird.jl developers

[yangmr04]

Just want to share this page from the official Julia documentation on writing performant code:

Performance Tips

Julia can, to some extent, look very similar to an interpreted Language, e.g., Python. One can simply script with Julia without worrying about performance. However, for writing a fast code for scientific computing, one needs to be mindful about the stability and sustainability of the code, especially for functions that will be ran millions of times. Thus, I highly recommend going through the "Performance Tips" page before committing any changes to the code functions of FreeBird.jl if you are a new Julia user. It's quite readable, with many examples and explanations, and can be used as a tutorial to Julia as well.

Enjoy!