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Online Public Access Catalogue

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

变异题名:

Learning to program with AI, big data and the cloud

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 (Computer program language)

论题主题:

Python (Computer program language)

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.

豆瓣简介：