An introduction to data science with Python / (Record no. 140114)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01854nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260427114414.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260316b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781071850657 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | PK-LaUMT |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Item number | SAL-I |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Saltz, Jeffrey S. |
| 245 13 - TITLE STATEMENT | |
| Title | An introduction to data science with Python / |
| Statement of responsibility, etc | Jeffrey S. Saltz and Jeffrey M. Stanton |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Thousand Oaks : |
| Name of publisher, distributor, etc | Sage, |
| Date of publication, distribution, etc | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xv, 290 p. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references and index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool"-- Provided by publisher |
| 546 ## - LANGUAGE NOTE | |
| Language note | Eng |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Stanton, Jeffrey M. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|---|---|
| UMT Main Campus | UMT Main Campus | 2026-03-16 | 006.312 SAL-I | 151806 | 2026-06-18 | 2026-03-16 | Books | ||||
| UMT Main Campus | UMT Main Campus | 2026-04-27 | 006.312 SAL-I | 152440 | 2026-08-06 | 2026-04-27 | Books | C.2 |