Intro to python for computer science and data science: learning to program with AI, Big Data and the Cloud (Record no. 11153)

MARC details
000 -LEADER
fixed length control field 03396nam a22002057a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250626b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789353949518
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number DEI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Deitel, Paul
245 ## - TITLE STATEMENT
Title Intro to python for computer science and data science: learning to program with AI, Big Data and the Cloud
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Noida
Name of publisher, distributor, etc. Pearson India Education Services Pvt. Ltd.
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent xlviii, 831p.
Other physical details pbk.
520 ## - SUMMARY, ETC.
Summary, etc. "Introduction to Python for Computer Science and Data Science takes a unique, modular approach to teaching and learning introductory Python programming that is relevant for both computer science and data science audiences. The Deitels cover the most current topics and applications to prepare you for your career. Jupyter Notebooks supplements provide opportunities to test your programming skills. Fully implemented case studies in artificial intelligence technologies and big data let you apply your knowledge to interesting projects in the business, industry, government and academia sectors. Hundreds of hands-on examples, exercises and projects offer a challenging and entertaining introduction to Python and data science.<br/><br/>Table of Content<br/><br/>PART 1 CS: Python Fundamentals Quickstart CS 1. Introduction to Computers and Python DS Intro: AI-at the Intersection of CS and DS CS 2. Introduction to Python Programming DS Intro: Basic Descriptive Stats CS 3. Control Statements and Program Development DS Intro: Measures of Central Tendency—Mean, Median, Mode CS 4. Functions DS Intro: Basic Statistics— Measures of Dispersion CS 5. Lists and Tuples DS Intro: Simulation and Static Visualization PART 2 CS: Python Data Structures, Strings and Files CS 6. Dictionaries and Sets DS Intro: Simulation and Dynamic Visualization CS 7. Array-Oriented Programming with NumPy, High-Performance NumPy Arrays DS Intro: Pandas Series and DataFrames CS 8. Strings: A Deeper Look Includes Regular Expressions DS Intro: Pandas, Regular Expressions and Data Wrangling CS 9. Files and Exceptions DS Intro: Loading Datasets from CSV Files into Pandas DataFrames PART 3 CS: Python High-End Topics CS 10. Object-Oriented Programming DS Intro: Time Series and Simple Linear Regression CS 11. Computer Science Thinking: Recursion, Searching, Sorting and Big O CS and DS Other Topics Blog PART 4 AI, Big Data and Cloud Case Studies DS 12. Natural Language Processing (NLP), Web Scraping in the Exercises DS 13. Data Mining Twitter®: Sentiment Analysis, JSON and Web Services DS 14. IBM Watson® and Cognitive Computing DS 15. Machine Learning: Classification, Regression and Clustering DS 16. Deep Learning Convolutional and Recurrent Neural Networks; Reinforcement Learning in the Exercises DS 17. Big Data: Hadoop®, Spark™, NoSQL and IoT""<br/><br/>Salient Features<br/>• Prepares students for future careers with the most current and relevant real-world applications <br/>• hands-on, real-world case studies <br/>• artificial-intelligence technologies <br/>• Helps instructors adapt to a range of computer-science and data-science courses with the flexible modular architecture"
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Deitel, Harvey
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.pearsoned.co.in/web/books/9789353949518_Intro-to-Python-for-Computer-Science-and-Data-Science_P-J-Deitel.aspx
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 5167
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 3146
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code bill no. bill date Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Computer science LYALL-T-0190 21-06-2025 Plaksha University Library Plaksha University Library 26/06/2025 The Lyall Book Depot 930.00   005.133 DEI 005324 26/06/2025 651.00 26/06/2025 Book

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