From Dependency Injection, Principles, Practices, and Patterns by Steven van Deursen and Mark Seemann
This article explores the Ambient Context DI anti-pattern: what it is, how to identify it, and why it’s so dangerous.
From Dependency Injection, Principles, Practices, and Patterns by Steven van Deursen and Mark Seemann
This articles explains the Service Locator anti-pattern: what it is, what effects it has on code, and why it’s a problem.
From Dependency Injection, Principles, Practices, and Patterns by Steven van Deursen and Mark Seemann
This article delves into the Method Injection DI Pattern: how it works, and when and why you might want to use it.
From Dependency Injection, Principles, Practices, and Patterns by Steven van Deursen and Mark Seemann
This article delves into the Constructor Injection DI pattern—what it is and how, when, and why to use it.
By Dan Bergh Johnsson, Daniel Deogun, and Daniel Sawano
This article delves into DDD and models: what they are, how they relate, and how models work within Domain-Driven Design.
From Machine Learning for Business by Doug Hudgeon and Richard Nichol
In this article, you’ll see how SageMaker and the Random Cut Forest algorithm can be used to create a model that will highlight the invoice lines that Brett should query with the law firm. The result will be a repeatable process that Brett can apply to every invoice that will keep the lawyers working for his bank on their toes and will save the bank hundreds of thousands of dollars per year. Off we go!
From Data Science at Scale with Python and Dask by Jesse C. Daniel
This article delves into building linear models using Dask-ML.
From Istio in Action by Christian Posta
This article explores the Istio gateway.
From Practical Data Science with R, 2nd Ed. By Nina Zumel and John Mount
In this article, we demonstrate some ways to get to know your data, and discuss some of the potential issues that you’re looking for as you explore.
From Spark in Action, 2nd Ed. by Jean Georges Perrin
This is the last in a series of 4 articles on the topic of ingesting data from files with Spark. This section deals with ingesting a TXT file.