Julia & Mojo Mandelbrot Benchmark
For those of you who aren’t aware, the Mojo SDK was recently released, so I thought I would take the opportunity to start benchmarking some Julia code against Mojo. As a first test, I am calculating the Mandelbrot set using the code provided by Modular. This is my Julia implementation: using Plots const xn = 960 const yn = 960 const xmin = -2.0 const xmax = 0.6 const ymin = -1.5 const ymax = 1.5 c
Julia on Google Colab: Free GPU-Accelerated Shareable Notebooks - GPU - JuliaLang
(Disclosure: While I work for Google, this is not an official Google product or announcement.) tl;dr: For Julia on Colab with GPUs, first open this notebook and run the cell (takes ~15-20 minutes), then open this one to start using Julia. Recently, @denizyuret brought up on Slack that it would be nice if Google Colab supported Julia, especially for GPUs. I can’t promise anything about official or
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What do functional languages (LISP / ML) offer that Julia doesn't?
