MARC状态:审校 文献类型:西文图书 浏览次数:16
- 题名/责任者:
- Intro to Python for computer science and data science : learning to program with AI, big data and the cloud / Paul Deitel, Harvey Deitel = Python大学教程 : 面向计算机科学和数据科学 / [美] 保罗·戴特尔, 哈维·戴特尔著.
- 出版发行项:
- 北京 : China Machine Press, 2021.
- ISBN:
- 9787111671503
- 载体形态项:
- lii, 803 pages : illustrations ; 24 cm.
- 变异题名:
- Python大学教程 : 面向计算机科学和数据科学
- 丛编说明:
- 经典原版书库
- 丛编说明:
- HZ books = 华章教育
- 个人责任者:
- Deitel, Paul J., author.
- 附加个人名称:
- Dietal, Harvey, author.
- 论题主题:
- Python
- 论题主题:
- Data Science
- 中图法分类号:
- TP312PY
- 书目附注:
- Includes bibliographical references.
- 内容附注:
- Introduction to computers and Python -- Introduction to Python programming -- Control statements and program development -- Functions -- Sequences : lists and tuples -- Dictionaries and sets -- Array-oriented programming with NumPy -- Strings : a deeper look -- Files and exceptions -- Object-oriented programming -- Computer science thinking : recursion, searching, sorting and Big O -- Natural language processing (NLP) -- Data mining Twitter -- IBM Watson and cognitive computing -- Machine learning : classification, regression and clustering -- Deep learning -- Big data : Hadoop, Spark, NoSQL and loT.
- 摘要附注:
- "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."--From publisher's description.
- 原版附注:
- Reprint. Originally published: New York : Pearson Education, Inc., [2020] (Deitel series) 9780135404676.
- 语种附注:
- Preface and contents in Chinese.
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