Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud (美國原版)
Paul J. Deitel, Harvey Deitel
- 出版商: Pearson FT Press
- 出版日期: 2019-02-15
- 售價: $3,800
- 貴賓價: 9.5 折 $3,610
- 語言: 英文
- 頁數: 880
- 裝訂: Paperback
- ISBN: 0135404673
- ISBN-13: 9780135404676
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相關分類:
Python、程式語言、大數據 Big-data、Computer-Science、Data Science
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相關翻譯:
Python大學教程：面向計算機科學和數據科學 (簡中版)
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商品描述
For introductory-level Python programming and/or data-science courses.
A groundbreaking, flexible approach to computer science and data science
The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science.
The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.
商品描述(中文翻譯)
「Python程式設計和/或資料科學入門課程的首選教材。
一本開創性且靈活的計算機科學和資料科學教材
Deitel的《Python計算機科學和資料科學入門：學習AI、大數據和雲端程式設計》提供了一種獨特的方法來教授Python程式設計，適用於計算機科學和資料科學的學生。該書提供了最新的主題和應用，並配有豐富的傳統補充材料以及Jupyter筆記本補充材料。真實世界的數據集和人工智能技術使學生能夠參與在商業、工業、政府和學術界有影響力的項目。數百個例子、練習、專案和實施案例研究為學生提供了一個引人入勝、具有挑戰性和娛樂性的Python程式設計和實踐資料科學的入門。
該書的模塊化結構使教師能夠方便地將教材適應於各種計算機科學和資料科學課程，並吸引來自不同專業的學生。計算機科學教師可以根據需要整合資料科學和人工智能的主題，而資料科學教師則可以根據需要整合Python程式設計。該書與最新的ACM/IEEE計算機科學和相關計算課程倡議以及由美國國家科學基金會贊助的資料科學本科課程提案相一致。」
