Intro to Python for Computer Science and Data Science: (Record no. 34474)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 978-1292364902 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Author Mark | DEI-I |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Deitel, Paul |
| 245 ## - TITLE STATEMENT | |
| Title | Intro to Python for Computer Science and Data Science: |
| Sub-Title | Learning to Program with AI, Big Data and The Cloud |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Global Edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | United Kingdom |
| Name of publisher, distributor, etc. | Pearson |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 879p, |
| 500 ## - GENERAL NOTE | |
| General note | A groundbreaking, flexible approach to computer science anddata science<br/><br/>The Deitels’Introduction to Python for ComputerScience and Data Science: Learning to Program with AI, Big Data and the Cloudoffers a unique approach to teaching introductory Python programming,appropriate for both computer-science and data-science audiences. Providing themost current coverage of topics and applications, the book is paired withextensive traditional supplements as well as Jupyter Notebooks supplements.Real-world datasets and artificial-intelligence technologies allow students towork on projects making a difference in business, industry, government andacademia. Hundreds of examples, exercises, projects (EEPs) and implementationcase studies give students an engaging, challenging and entertainingintroduction to Python programming and hands-on data science.<br/><br/>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 withthe Data Science Undergraduate Curriculum Proposal sponsored by the NationalScience Foundation. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Include Index. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Inventory number | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Air University Kharian Campus Library | Air University Kharian Campus Library | Computer Science Core | 02/17/2025 | Ali Book Service | 4228.00 | AU-KH 0356 | 005.133 DEI-I | AUKHP0393 | 03/03/2025 | Book |