书目信息 |
| 书名： | Intro to Python for computer science and data science | |
| 作者： | 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. | |
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| 分册名： | 出版地： |
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| 页数： | 52, 803 pages : | |
| 开本： | 24 cm. | |
| 丛书名： | ||
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| 科图分类号： | ||
| 其他分类号： | H31:TP312 | |
| 主题词： | ||
| 电子资源： | ||
| 000 | 03599nam 2200421 a 4500 | |
| 001 | E2139623808 | |
| 003 | CAL | |
| 005 | 20211109110117.37 | |
| 008 | 190924r20212020cc a b 000 0 eng d | |
| 020 | @a9787111671503 :@cCNY 169.00. | |
| 035 | @aCAL 022021054935 | |
| 040 | @aWUL@beng@cWUL@erda | |
| 041 | 0 | @aeng@bchi@fchi |
| 093 | @aTP312PY@25 | |
| 093 | @aTP311.561@25 | |
| 093 | @aH31:TP312 | |
| 099 | @dH31:TP312@e51 | |
| 100 | 1 | @aDeitel, Paul J.,@eauthor. |
| 245 | 12 | @aIntro to Python for computer science and data science :@blearning to program with AI, big data and the cloud / @cPaul 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 | @aPython大学教程 :@b面向计算机科学和数据科学 |
| 246 | 30 | @aLearning to program with AI, big data and the cloud |
| 264 | 1 | @a北京 :@bChina Machine Press,@c2021. |
| 300 | @a52, 803 pages :@billustrations ;@c24 cm. | |
| 336 | @atext@btxt@2rdacontent | |
| 337 | @aunmediated@bn@2rdamedia | |
| 338 | @avolume@bnc@2rdacarrier | |
| 490 | 0 | @a经典原版书库 |
| 490 | 0 | @aHZ books =@a经典原版书库 |
| 504 | @aIncludes bibliographical references. | |
| 505 | 0 | @aIntroduction 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."@c--From publisher's description. | |
| 534 | @pReprint. Originally published:@cNew York : Pearson Education, Inc., [2020]@f(Deitel series)@z9780135404676. | |
| 650 | 7 | @aData Science@2gnd |
| 650 | 7 | @aPython@gProgrammiersprache@2gnd |
| 650 | 0 | @aPython (Computer program language) |
| 650 | 7 | @aPython (Computer program language)@2fast |
| 650 | 0 | @a英语 |
| 700 | 1 | @aDietal, Harvey,@eauthor. |
| 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. |
| 52, 803 pages : : illustrations ; ; 24 cm.- (经典原版书库).- (HZ books = 经典原版书库) |
| Includes bibliographical references.-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.-"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." |
| ISBN 9787111671503 :CNY 169.00. |
| "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." |
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正题名：Intro to Python for computer science and data science
索取号：H31:TP312/51
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| 序号 | 登录号 | 条形码 | 馆藏地/架位号 | 状态 | 备注 |
| 1 | 0009429 | 300094298 | 样本书库/ [索取号:H31:TP312/51] | 在馆 | |
| 2 | 0009430 | 300094305 | 西文书库/4110980404/ [索取号:H31:TP312/51] | 在馆 | |
| 3 | 0009431 | 300094314 | 西文书库/4110980404/ [索取号:H31:TP312/51] | 在馆 |