机读格式显示(MARC)
- 000 03543cam a2200397 i 4500
- 008 190924r20212020cc a b 000 0 eng d
- 020 __ |a 9787111671503 |c CNY169.00
- 040 __ |a WUL |b eng |c WUL |e rda |d SCT
- 041 0_ |a eng |b chi |f chi
- 099 __ |a CAL 022021054935
- 100 1_ |a Deitel, Paul J., |e author.
- 245 12 |a Intro to Python for computer science and data science : |b learning to program with AI, big data and the cloud / |c 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.
- 246 31 |a Python大学教程 : |b 面向计算机科学和数据科学
- 246 30 |a Learning to program with AI, big data and the cloud
- 260 __ |a 北京 : |b China Machine Press, |c 2021.
- 300 __ |a lii, 803 pages : |b illustrations ; |c 24 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 0_ |a HZ books = |a 华章教育
- 504 __ |a Includes bibliographical references.
- 505 0_ |a 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.
- 520 __ |a "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.
- 534 __ |p Reprint. Originally published: |c New York : Pearson Education, Inc., [2020] |f (Deitel series) |z 9780135404676.
- 546 __ |a Preface and contents in Chinese.
- 650 _0 |a Python (Computer program language)
- 650 _7 |a Python (Computer program language) |2 fast
- 650 _7 |a Data Science |2 gnd
- 700 1_ |a Dietal, Harvey, |e author.