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const jsdom = require('jsdom')
const {
  JSDOM
} = jsdom

function toJSDOM(responseBody) {
  return new JSDOM(responseBody)
}

/**

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Go: The Weird Parts

Notes on the unique stuff about go, in the context of other languages that I already know.

Project Organization

1. Root dir go
2. src and bin inside the project
3. unique project/package name

The first statement in a go source file must be package packagenamehere

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Articles for the New JS Dev

A list of the gists that have proved most useful to new JS devs on GitHub.

• Express: A Gentle Overview
• Setting Up Express
• Error Handling Patterns in Express
• Nested Routers in Express
• Basic Routing in Express
• Middleware With Express

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Faster, Better Speech Recognition with Wav2Letter's Auto Segmentation Criterion

In 2016, Facebook AI Research (FAIR) broke new ground with Wav2Letter, a fully convolutional speech recognition system.

In Wav2Letter, FAIR showed that systems based on convolutional neural networks (CNNs) could person as well as traditional recurrent neural network-based approaches.

In this article, we'll focus on an understudied module at the core of Wav2Letter: the Auto Segmentation (ASG) Criterion.

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Supercharge Your Bash Workflows with GNU parallel

GNU parallel is a command line tool for running jobs in parallel.

parallel is awesome and belongs in the toolbox of every programmer. But I found the docs a bit overwhelming at first. Fortunately, you can start being useful with parallel with just a few basic commands.

Why is parallel so useful?

Let's compare sequential and parallel execution of the same compute-intensive task.

Imagine you have a folder of .wav audio files to convert to .flac:

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from model_fastai import FastaiImageClassifier

class PythonServer(object):
    def listen(self):
        print(f'Python Server started listening on {PORT} ...')

    def predict_from_img(self, img_path):
        model = FastaiImageClassifier()
        return model.predict(img_path)

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static async invoke(method, ...args) {
    try {
        const zerorpc = PythonConnector.server();
        return await Utils.promisify(zerorpc.invoke, zerorpc, method, ...args);
    }
    catch (e) {
        return Promise.reject(e)
    }
}

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...

// Our prediction endpoint (Receives an image as req.file)
app.post('/predict', upload.single('img'), async function (req, res) {
    const { path } = req.file
    try {
        const prediction = await PythonConnector.invoke('predict_from_img', path);
        res.json(prediction);
    }
    catch (e) {

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class PythonConnector {
    static server() {
        if (!PythonConnector.connected) {
            console.log('PythonConnector – making a new connection to the python layer');
            PythonConnector.zerorpcProcess = spawn('python3', ['-u', path.join(__dirname, 'PythonServer.py')]);
            PythonConnector.zerorpcProcess.stdout.on('data', function(data) {
                console.info('python:', data.toString());
            });
            PythonConnector.zerorpcProcess.stderr.on('data', function(data) {
                console.error('python:', data.toString());