Performance Limits and Profiling

From Parallel and High Performance Computing by Robert Robey

This article discusses benchmarking: bandwidth and flops.

Software Installation Simplified with Docker

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

This article tells you how Docker can help you simplify software installation.

Making Better Unit Tests, Part 2: naming unit tests

From Unit Testing, Principles, Practices, and Patterns by Vladimir Khorikov

Newly-Introduced JUnit 5 Annotations and Classes

From JUnit in Action, Third Edition by Catalin Tudose

This article discusses some of the most important new additions in Junit 5.


Managing a Successful AI Project, Part 1: setting actionable goals

From Succeeding with AI by Veljko Krunic

Focused human involvement and attention makes or breaks an AI project. This article discusses the first questions you should ask in the context of every AI project, as well as the most important ideas to keep in mind during any AI project.

A Pre-Trained Model that Fakes It until It Makes It

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

This article explores the use and capabilities of GANs, using a fictional (and inadvasible) example of aspiring art forgers.

What is a Penetration Tester?

From Penetrating Enterprise Networks by Royce Davis

This article describes penetration testing: what it is and why a company might want a penetration test. We will also delve into the job of the penetration tester.

Making Better Unit Tests: part 1, the AAA pattern

From Unit Testing, Principles, Practices, and Patterns by Vladimir Khorikov

In this article I’ll give you a refresher on some basic topics. I’ll go over the structure of a typical unit test, which is usually represented by the Arrange-Act-Assert pattern. I’ll also show the unit testing framework of my choice — xUnit — and explain why I’m using it and not one of its competitors.

Improving Mad Libs with Expressions

From Terraform in Action by Scott Winkler

This article discusses how we can improve a Mad Libs generator using expressions.

The Meaning of the Churn Rate

  From Fighting Churn with Data by Carl Gold This article discusses measuring the churn rate. Take 37% off Fighting Churn with Data by entering fccgold into the discount code box at checkout at The Meaning of the Churn… Continue Reading →

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