Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...

What if the huge design space for data-driven software could be efficiently mapped and explored in order to have tailor-made, optimized solutions? Researchers from Harvard combine analytical models, ...

What makes some good software developers good at building large scale software but weak at data structures and algorithms? originally appeared on Quora: the place to gain and share knowledge, ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...

I'm going to explain to you how I mastered data structures and algorithms quickly without hating my life. Now, I say that because a lot of people that get into this topic do it completely wrong. It ...

Data structures and algorithms in Java, Part 2 introduced a variety of techniques for searching and sorting one-dimensional arrays, which are the simplest arrays. In this tutorial you’ll explore ...