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.
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.
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.
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.
From Elm in Action by Richard Feldman
This article deals with writing fuzz tests in Elm.
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.
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
From Deep Learning for Vision Systems by Mohamed Elgendy
In this part, we will delve into image preprocessing for computer vision systems.
From Deep Learning for Vision Systems by Mohamed Elgendy
In this part, we will discuss the input images for computer vision systems.
From Mastering Large Datasets by JT Wolohan
This article explores using the map function creatively in a data project.