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.

We look into how to screenshot in different devices, take coverage metrics and check loading performance.

We look at setting up, running, and setting up deployments on Kubernetes. We talk about running and scaling pods, connecting services and pushing to google cloud.

We use OpenCL to run workloads on GPU and try a simple blur filter.

We compile and look at the code for the Tensorflow lite demo, looking at the key concepts.

We look at connecting up a native library, native source to our Android application.

We look into different looping concepts, what they are and when to use them.

We look into the way SQRL stores keys on disk or paper in QR form. How to read the data and decrypt the different blocks.

I talk about a project I’ve started to work on. The specific technologies I’ve looked into and tried to implement.