High-performance language recommendation

This page summarizes the projects mentioned and recommended in the original post on /r/bioinformatics

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  • Rustlings

    :crab: Small exercises to get you used to reading and writing Rust code!

  • i can't truly speak to the relative steepness, i think like both rust and c++ can get quite steep depending on what you're doing but can also be simple in other cases. best to just try it out i'd say :) the rustlings guide https://github.com/rust-lang/rustlings which parallels the rust book https://doc.rust-lang.org/book/ is a good way to learn. doing things like advent of code could also help. the most common hurdles with rust are "lifetimes" and "the borrow checker", and it just takes practice to figure them out

  • book

    The Rust Programming Language

  • i can't truly speak to the relative steepness, i think like both rust and c++ can get quite steep depending on what you're doing but can also be simple in other cases. best to just try it out i'd say :) the rustlings guide https://github.com/rust-lang/rustlings which parallels the rust book https://doc.rust-lang.org/book/ is a good way to learn. doing things like advent of code could also help. the most common hurdles with rust are "lifetimes" and "the borrow checker", and it just takes practice to figure them out

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • poly

    A Go package for engineering organisms.

  • Check out poly. It’s written in go and I’m using it for one of my projects too. The goal is that we should have high performance libraries that we can use knowing what people are working on the forks will give the community a leg up.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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