A collection of Julia anti-patterns

Learning what to do in Julia by learning what not to do in Julia.

Julia is a modern, powerful programming language growing in popularity. Like any language it has unique and appealing features, but also pitfalls and gotchas. Users coming from higher-level languages such as Python or R may in particular struggle and fall for one of these errors.

This collection of worst practices will hopefully act as a reference and give you some of the tools you need to write lightning fast, error-free, maintainable Julia code. Parts are heavily influenced by the Julia manual - particularly the Performance Tips, Style Guide and Noteworthy Differences sections of the manual - but take a slightly more informal and opinionated tone. This whole site was influenced by The Little Book of Python Anti-Patterns.

Sections

• Correctness
• Performance
• Maintainability
• Packaging
• Community
• Switching from Python
• Switching from R
• Switching from Matlab

Contributing

Please contribute further worst practices, or refine existing wording, via GitHub.