Code to Joy: Why Everyone Should Learn a Little Programming
Littman, Michael L.
- 出版商: Summit Valley Press
- 出版日期: 2023-10-03
- 定價: $1,190
- 售價: 9.5 折 $1,131
- 貴賓價: 9.0 折 $1,071
- 語言: 英文
- 頁數: 232
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0262546396
- ISBN-13: 9780262546393
-
相關分類:
程式語言
立即出貨 (庫存=1)
買這商品的人也買了...
-
$2,280Working Effectively with Legacy Code (Paperback)
-
$1,870$1,777 -
$1,520$1,440 -
$1,700$1,700 -
$4,620$4,389 -
$1,980$1,881 -
$1,230$1,169 -
$600$474 -
$1,650$1,568 -
$560$420 -
$2,010$1,910 -
$1,980$1,881 -
$680$537 -
$2,450$2,328 -
$1,663Continuous Architecture in Practice: Software Architecture in the Age of Agility and Devops (Paperback)
-
$1,368Domain Storytelling: A Collaborative, Visual, and Agile Way to Build Domain-Driven Software (Paperback)
-
$2,070Multithreaded JavaScript: Concurrency Beyond the Event Loop
-
$2,475Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures (Paperback)
-
$2,625$2,573 -
$2,052Mastering API Architecture: Design, Operate, and Evolve Api-Based Systems (Paperback)
-
$2,160$2,052 -
$2,185$2,070 -
$1,758Functional Design: Principles, Patterns, and Practices (Paperback)
-
$750$585 -
$2,043$1,935
相關主題
商品描述
How we can get more joy from our machines by telling them what our hearts desire.
In this informative, accessible, and very funny book, Michael L. Littman inspires readers to learn how to tell machines what to do for us. Rather than give in to the fear that computers will steal our jobs, spy on us and control what we buy and whom we vote for, we can improve our relationship with them just by learning basic programming skills. Our devices will help us, Littman writes, if we can say what we want in a way they can understand.
Each chapter of the book focuses on a particular element of what can be said, providing examples of how we use similar communication in our daily interactions with people. Littman offers ways readers can experiment with these ideas right away, using publicly available systems that might also make us more productive as a welcome side effect. Each chapter also reflects on how the use of these programming components can be expedited by machine learning. With humor and teacherly guidance, Code to Joy brings into view a future where programming is like reading--something everyone can learn.
作者簡介
Michael L. Littman is University Professor of Computer Science at Brown University and holds an adjunct position with the Georgia Institute of Technology College of Computing. He was selected by the American Association for the Advancement of Science as a Leadership Fellow for Public Engagement with Science in Artificial Intelligence.