The more you understand about data structures and algorithms ... to measure an algorithm’s efficiency, distilling these into complexity functions to abstract implementation and runtime ...

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, ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

A data structure design, as defined by Idreos and his team in a recent publication, consists of 1) the data organization, 2) an optional index, and 3) the algorithms that support basic operations ...

Seventy years after the invention of a data structure called a ... the new hash table’s unprecedented efficiency, no one is likely to try building it anytime soon. It’s just too complicated to ...

Quality: Accurate, reliable and consistent data is paramount. • Structure: Data should be organized for efficient processing ... even the most sophisticated algorithms are powerless.