Foundational Python for Data Science (Record no. 369343)

MARC details
000 -LEADER
fixed length control field 01965 a2200169 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251211140452.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251211b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9788119847327
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Behrman K.
9 (RLIN) 215651
245 ## - TITLE STATEMENT
Title Foundational Python for Data Science
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Pearson
Date of publication, distribution, etc. 2024
Place of publication, distribution, etc. Chennai
300 ## - PHYSICAL DESCRIPTION
Extent 231pp
500 ## - GENERAL NOTE
Keywords Start learning right away, on any device.<br/>checkmark bullet<br/>More supportive. Get AI explanations and practice questions (select titles).<br/>checkmark bullet<br/>More interactive. Bring learning to life with audio, videos, and diagrams.<br/>checkmark bullet<br/>More memorable. Make concepts stick with highlights, search, notes, and flashcards.<br/>checkmark bullet<br/>More understandable. Translate text into 100+ languages with one tap.
520 ## - SUMMARY, ETC.
Summary, etc. Data science and machine learning – two of the world’s hottest fields – are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world’s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help millions of people with widely diverse backgrounds learn Python so they can use it for data science and machine learning. <br/><br/>Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once you’ve learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving.<br/><br/>Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more – all created with Colab (Jupyter compatible) notebooks, so you can execute all coding examples interactively without installing or configuring any software.<br/>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Vendor Cost, normal purchase price Total Checkouts Barcode Date last seen Cost, replacement price Bill Date Koha item type Original Barcode
    Dewey Decimal Classification     BCA MKSSS s K.B. Joshi Institute of Information Technology Library MKSSS s K.B. Joshi Institute of Information Technology Library 10/12/2025 8 337.50   KBJP-BK-2911 10/12/2025 450.00 10/12/2025 Books 2911