Data Science and Databases

The goal of this article is to introduce you to the underlying principles of accessibility and help you flawlessly implement web accessibility guidelines and standards on your next project. Even minor improvements can help your content rank better, reach more people, and improve the overall user experience.

The Hungarian graph algorithm solves the linear assignment problem in polynomial time. By modeling resources (e.g., contractors and available contracts) as a graph, the Hungarian algorithm can be used to efficiently determine an optimum way of allocating resources.

This article will give you an introduction to the principles behind public-key cryptosystems and introduce you to the Santana Rocha-Villas Boas (SRVB) cryptosystem, developed by the author of the article and prof. Daniel Santana Rocha. The algorithm authors are making a campaign that includes a financial reward to anyone who manages to crack the code.

Sharing related information among isolated systems has become increasingly important. There are many methods to choose from to perform that task for SQL Server, but it’s important to know which is better for each use case.

WordPress is a very popular way to get a site up and running quickly. However, in their haste, plenty of developers end up making horrible decisions. Some mistakes, like leaving WP_DEBUG set to “true,” may be easy to make. Others, like lumping all your JavaScript into a single file, are as common as lazy engineers. Whichever mistake you manage to make, read on to find out the 12 most common WordPress mistakes that new and seasoned developers make.

Dropwizard allows developers to quickly bootstrap their projects and package applications as easily deployable standalone services. It also happens to be relatively simple to use and implement.

In this tutorial, Toptal Freelance Software Engineer Dusan Simonovic will introduce you to Dropwizard and demonstrate how you can use this powerful framework to create RESTful web services with ease.

Build a bot that analyzes the sentiment of incoming email messages using Recursive Neural Tensor Networks from the Stanford NLP library.