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Manning Publications

Retrying a Function or an Effect

From The Joy of Kotlin by Pierre-Yves Saumont

This article discusses retying functions in Kotlin.

Improving Responsiveness with Concurrency

From C++ Concurrency in Action, Second Edition by Anthony Williams

This article talks about how you can improve the responsiveness by separating concerns with concurrency.

More Sensitive Suggestions

From Deep Learning for Search by Tommaso Teofili

This article discusses how neural networks can help generate text that a human might write in order to provide more sensitive suggestions and enhance autocomplete functionality.

The Majestic Role of the Dataframe in Spark

From Spark with Java by Jean Georges Perrin

In this article, you’ll learn what a dataframe is, how it’s organized, and about immutability.

What Are GANs?

By Vladimir Bok, author of GANs in Action

This article discusses the history and meaning of Generative Adversarial Networks, and their potential.

The Inner Workings of Istio

From Istio in Action by Christian Posta

MMG-istio-in-action
By Christian E. Posta

A Taco Cloud?

Six Questions for Craig Walls, author of Spring in Action, 5th Edition

By Frances Lefkowitz, Development Editor, Manning Publications

The author of Spring in Action and Spring Boot in Action, Craig Walls is a principal engineer with Pivotal and a zealous promoter of the Spring Framework. In addition to writing books and articles about Spring, he gives presentations about it at local user groups and larger conferences. When he’s not slinging code, Craig is planning his next trip to Disney World or Disneyland and spending as much time as he can with his wife, two daughters, two birds and three dogs.

Routing and Analyzing Request Data with Node.js

From Get Programming with Node.js by Jonathan Wexler

This article covers routing and how a few more Express.js methods allow you to send meaningful data to the user before building a view. We’ll also walk through collecting a request’s query string. The article ends touching on the MVC design pattern.

Analyzing Stock Price Time Series with Fortran Arrays, Part 1

From Modern Fortran by Milan Curcic

Stock price analysis and prediction has been an increasingly popular topic since the early days of high-level programming, and Fortran has been used in the bowels of many financial trading and banking systems, mainly thanks to its robustness, reliability, and efficiency. In this article, we’ll work with a dataset that is freely available, small enough to be easily downloaded, and yet large enough to demonstrate the power of Fortran arrays.

What can Machine Learning do for your Business?


slideshare-what-can-machine-learning-do-for-your-business

From Machine Learning for Business by Doug Hudgeon, and Richard Nichol

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