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  1. Zen there were none

    Grouchy passengers on the London Underground are offered all kinds of stress-reducing therapies.

  2. Mjolnir is, one the one hand, a library implementation of Julia’s type inference engine.

  3. Transducers & Effects

    Clojure has introduced a very interesting idea called ‘transducers’, which decouple sequence transformations (mapping, filtering etc) from sequence implementations like vectors, lazy lists and channels.

  4. Programming language design and implementation is, always has been, and likely always will be, hard.

  5. Iterate on it

    When you write a for loop in Julia, like for x in xs # do something with x end this expands to

  6. The Many Types of Types

    Julia programmers love nothing like a good polysemy.

  7. Originally posted on the Flux website.

  8. Originally posted on the Julia website.

  9. Recursive Self-Simulation

    Can the Universe Simulate Itself?

  10. Taming the Tarpit

    Have you ever seen a programming language like this?

  11. Generic GPU Kernels

    Julia has a library called CUDAnative, which hacks the compiler to run your code on GPUs. using CuArrays, CUDAnative xs, ys, zs = CuArray(rand(1024)), CuArray(rand(1024)), CuArray(zeros(1024)) function kernel_vadd(out, a, b) i = (blockIdx().x-1) * blo…

  12. The Lazy List

    “Any sufficiently advanced technology is indistinguishable from magic,” go the famous words of Arthur C.

  13. Sorting a Billion Numbers

    This post gives an overview of working with larger-than-memory data in the Julia language.

  14. Computers are more powerful than ever before.