Subject

Articles

Welcome to Docker

From Docker in Action, Second Edition by Jeff Nickoloff and Stephen Kuenzli

This article gives you a rundown of what Docker in and what problems it solves.

The Computer Vision Pipeline, Part 4: feature extraction

From Deep Learning for Vision Systems by Mohamed Elgendy

In this part, we will take a look at feature extraction—a core component of the computer vision pipeline.

The Singleton Lifestyle

From Dependency Injection, Principles, Practices, and Patterns by Steven van Deursen and Mark Seemann

This articles explains the Singleton Lifestyle: what it is and what it means for your code.

Is my Problem a Graph Problem?

From Graph Databases in Action by Dave Bechberger

In this article, we’ll review what makes a problem a good graph use case. We’ll start by examining a few general categories of problems and discussing why they might make for good graph use case.  Finally, we’ll analyze a general framework that we can use to help us decide if our problem is a good graph use case.

Writing Fuzz Tests in Elm

From Elm in Action by Richard Feldman

This article deals with writing fuzz tests in Elm.

Using Option in Scala, Part 1: introduction

From Get Programming with Scala by Daniela Sfregola

This article introduces the Option type and discuss why you would (or wouldn’t) want to use it and when.

The Shadow DOM

From Web Components in Action by Benjamin Farrell

This article covers:

• Component and Class Encapsulation
• How the Shadow DOM Protects Your Component’s DOM
• The Open and Closed Shadow DOM
• Shadow DOM Terminology: Shadow Root, Shadow Boundary, and Shadow Host
• Polyfilling With the Shady DOM

The Computer Vision Pipeline, Part 3: image preprocessing

From Deep Learning for Vision Systems by Mohamed Elgendy

In this part, we will delve into image preprocessing for computer vision systems.

The Computer Vision Pipeline, Part 2: input images

From Deep Learning for Vision Systems by Mohamed Elgendy

In this part, we will discuss the input images for computer vision systems.

Working with Large Datasets Faster: using the map function

From Mastering Large Datasets by JT Wolohan

This article explores using the map function creatively in a data project.

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