Efficient Scientific Computation with Declarative Programming: Streamlining Data Analysis, Visualization, and Modeling for Faster and More Accurate Results

by Frank Shay

Efficient Scientific Computation with Declarative Programming is a must-read for scientists and programmers looking to optimize their computational workflows. In this book, you'll discover how declarative programming can transform the way you approach scientific computation, enabling you to write faster, more efficient code with less effort. Declarative programming is a programming paradigm that emphasizes the "what" of a program over the "how." By focusing on the desired outcome rather than the specific steps to achieve it, declarative programming enables programmers to write code that is more concise, more maintainable, and more scalable. In this book, you'll learn how to apply declarative programming techniques to a wide range of scientific computation tasks, from data analysis and visualization to numerical simulation and machine learning. You'll explore programming languages such as Julia and Prolog, which are specifically designed for declarative programming, and you'll discover how to leverage libraries and frameworks to further streamline your workflows. Efficient Scientific Computation with Declarative Programming is written in a clear, accessible style that makes it easy to understand even for those new to declarative programming. With practical examples and case studies throughout, this book provides a roadmap for scientists and programmers who want to take their computational workflows to the next level. Whether you're a researcher, engineer, or data scientist, Efficient Scientific Computation with Declarative Programming is an essential guide that will help you unlock new levels of efficiency, speed, and accuracy in your scientific computations.

132 pages, Paperback

Published February 26, 2023