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diff --git a/docs/running.html b/docs/running.html index bb1b1fe3..2e1e9892 100644 --- a/docs/running.html +++ b/docs/running.html @@ -7,7 +7,7 @@ <h1 id="how-to-run-bqn">How to run BQN</h1> <p>There are currently two active BQN implementations: the self-hosted one in this repository, and the independent dzaima/BQN. Neither is entirely complete but they are quite capable for pure programming tasks (say, implementing a compiler). For scripting, only dzaima/BQN has the required I/O such as file functions. I tend to develop parts of applications in the online REPL and move to dzaima/BQN scripts in order to run them.</p> <h3 id="bqn">BQN</h3> -<p>The online REPL is <a href="https://mlochbaum.github.io/BQN/try.html">here</a>. The file <a href="https://github.com/mlochbaum/BQN/blob/master/docs/bqn.js">docs/bqn.js</a> is zero-dependency Javascript, and can be loaded from HTML or Node.js. It can also be called directly from the command line (using Node); in this case each argument is evaluated as BQN code and the result is printed.</p> +<p>The online REPL is <a href="https://mlochbaum.github.io/BQN/try.html">here</a>. The file <a href="https://github.com/mlochbaum/BQN/blob/master/docs/bqn.js">docs/bqn.js</a> is zero-dependency Javascript, and can be loaded from HTML or Node.js. It can also be called directly from the command line (using Node); in this case each argument is evaluated as BQN code and the result is printed. <a href="https://observablehq.com/@lsh/bqn">This notebook</a> shows how to run it in an Observable notebook.</p> <p>The version of BQN in this repository is implemented mainly in BQN itself—the compiler is entirely self-hosted, while the runtime is built from a small number of starting functions using preprocessed BQN. It completely supports the core language except for block headers and multiple body syntax, and a few cases of structural Under (<code><span class='Modifier2'>⌾</span></code>). The Javascript-based compiler is also slow, taking about 0.05 seconds plus 1 second per kilobyte of source (this is purely due to the slow runtime, as dzaima+reference achieves 1ms/kB with the same compiler once warmed up).</p> <p>Because self-hosted BQN requires only a simple virtual machine to run, it is <a href="implementation/vm.html">fairly easy</a> to embed it in another programming language by implementing this virtual machine. The way data is represented is part of the VM implementation: it can use native arrays or a custom data structure, depending on what the language supports. An initial implementation will be very slow, but can be improved by replacing functions from the BQN-based runtime with native code. As the VM system can be hard to work with if you're not familiar with it, I advise you to contact me to discuss this option it you are interested.</p> <h3 id="dzaimabqn">dzaima/BQN</h3> @@ -6,7 +6,7 @@ There are currently two active BQN implementations: the self-hosted one in this ### BQN -The online REPL is [here](https://mlochbaum.github.io/BQN/try.html). The file [docs/bqn.js](docs/bqn.js) is zero-dependency Javascript, and can be loaded from HTML or Node.js. It can also be called directly from the command line (using Node); in this case each argument is evaluated as BQN code and the result is printed. +The online REPL is [here](https://mlochbaum.github.io/BQN/try.html). The file [docs/bqn.js](docs/bqn.js) is zero-dependency Javascript, and can be loaded from HTML or Node.js. It can also be called directly from the command line (using Node); in this case each argument is evaluated as BQN code and the result is printed. [This notebook](https://observablehq.com/@lsh/bqn) shows how to run it in an Observable notebook. The version of BQN in this repository is implemented mainly in BQN itself—the compiler is entirely self-hosted, while the runtime is built from a small number of starting functions using preprocessed BQN. It completely supports the core language except for block headers and multiple body syntax, and a few cases of structural Under (`⌾`). The Javascript-based compiler is also slow, taking about 0.05 seconds plus 1 second per kilobyte of source (this is purely due to the slow runtime, as dzaima+reference achieves 1ms/kB with the same compiler once warmed up). |