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Building your first Aurelia application


By Sean Hunter

With Aurelia, one of the themes that stands out is freedom of choice. This article discusses the pros and cons of three main options available to developers who want to create a new project with Aurelia.

Starting to Program: meet Python

By Ana Bell

It’s likely you’re reading this article because you’ve heard about the Python programming language. This article introduces Python, teaches you how to install it and set up your workspace, and how to write code in the IPython console.

Constructing a Yelling App with Kafka Streams

By Bill Bejeck

This article will quickly get you off the ground and show you how Kafka Streams works. We’re going to make a toy application that takes incoming messages and upper-cases the text of those messages, effectively yelling at anyone who reads the message. This application is called the “Yelling Application”.

The Parallel Functional Pipeline Pattern

By Riccardo Terrell

In this article, you’re going to implement one of the most common coordination techniques—the pipeline pattern. In general, a pipeline is composed of a series of computational steps, organized as a chain of stages, where each stage depends on the output of its predecessor and usually performs a transformation on the input data.

Building Machine Learning Systems: data collection’s role

By Jeff Smith

Many people don’t even mention data collection when discussing the work of building machine learning systems. This article discusses the collection of uncertain data and collecting data at scale.

Slideshare: Taking a microservice feature to production

From Microservices in Action


By Morgan Bruce and Paulo A. Pereira

Slideshare: Specifying Data Type in R

From Data Munging with R


By Dr. Jonathan Carroll

Slideshare: A* Search in Swift: navigating a maze

From Classic Computer Science Problems in Swift


By David Kopec

Functional Programming in C++: an excerpt on lazy evaluation

By Ivan Čukić

This article discusses laziness implementation in C++, using a common example – calculating Fibonacci numbers.

When bad things happen: client resiliency patterns with Spring Cloud and Netflix Hystrix

By John Carnell

This article discusses client-side resiliency patterns intended to help make your app more robust and resistant to failure.

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