We look at a regular expression to parse a URL in detail so we can reason about regex.

We use Toco to convert our cats and dogs model to Tensorflow lite and run it on an Android device.

We look at creating self signed certificates and get them working with your docker image. We talk about different encryption and authentication algorithms and other configuration options.

We look into lighthouse testing on Travis CI and SauceLabs.

I talk about my experience at a hackathon last weekend.

We set up a simple Polymer 3.0 element and then transform it to use lit-html

We look into how to build docker images for performance. Talk about the compromises between speed and size.

We look into how to create TFRecords to and handle images from a custom dataset. Later we load these records into a model and do some predictions.

We look into a Travis CI configuration file in order to test Android projects.

We talk about the different collection structures in Java and how to measure their performance and memory footprint Simple example of performance testing for collection types in java: package org.ea.debugger; import java.lang.management.ManagementFactory; import java.util.*; import java.util.function.IntConsumer; public class CollectionTest { public static void sleep() { try { Thread.sleep(3000); } catch (Exception e) { e.printStackTrace(); } […]

We talk about lit-html and different functions available in the library.

We talk about what an accessible app is and how we can improve our testing, both manually and automatic.