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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.
- [Correctness]({{ site.baseurl }}{% link pages/correctness.md %})
- [Performance]({{ site.baseurl }}{% link pages/performance.md %})
- [Maintainability]({{ site.baseurl }}{% link pages/maintainability.md %})
- [Packaging]({{ site.baseurl }}{% link pages/packaging.md %})
- [Community]({{ site.baseurl }}{% link pages/community.md %})
- [Switching from Python]({{ site.baseurl }}{% link pages/switching_from_python.md %})
- [Switching from R]({{ site.baseurl }}{% link pages/switching_from_r.md %})
- [Switching from Matlab]({{ site.baseurl }}{% link pages/switching_from_matlab.md %})
Please contribute further worst practices, or refine existing wording, via GitHub.