Book Details
Format
Paperback
Pages
472
Language
English
Published
Aug 12, 2016
Publisher
The MIT Press
Edition
second edition
ISBN-10
0262529629
ISBN-13
9780262529624
Description
John V. Guttag presents a compelling journey into the world of computation and programming, tailored especially for beginners eager to unravel the complexities of data. Grounded in Python, this work stands out not just as a technical manual but as a thoughtful introduction that bridges the gap between abstract concepts and real-world applications. Through engaging explanations and practical examples, it invites readers to develop a solid foundation in programming while enhancing their understanding of data analysis.
The book emphasizes a practical approach, encouraging readers to apply their newfound skills to solve actual problems. It explores key programming concepts such as algorithms, data structures, and computational thinking, all while fostering an appreciation for data-driven decision-making. Guttag's insightful discussions reveal how computation reshapes our understanding of the world and empower readers to leverage software as a tool for insight.
Aimed at those with minimal background in computing, this guide serves as an essential stepping stone for anyone looking to delve deeper into the realms of data science and programming. Through its clear explanations and relatable examples, it lays the groundwork for future exploration and innovation in technology and analytics.
The book emphasizes a practical approach, encouraging readers to apply their newfound skills to solve actual problems. It explores key programming concepts such as algorithms, data structures, and computational thinking, all while fostering an appreciation for data-driven decision-making. Guttag's insightful discussions reveal how computation reshapes our understanding of the world and empower readers to leverage software as a tool for insight.
Aimed at those with minimal background in computing, this guide serves as an essential stepping stone for anyone looking to delve deeper into the realms of data science and programming. Through its clear explanations and relatable examples, it lays the groundwork for future exploration and innovation in technology and analytics.