Introduction to Python programming for business and social science applications (Record no. 4623)

MARC details
000 -LEADER
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005 - DATE AND TIME OF LATEST TRANSACTION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781544377445
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number KAE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kaefer, Frederick
245 ## - TITLE STATEMENT
Title Introduction to Python programming for business and social science applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Sage Publications, Inc.
Place of publication, distribution, etc. California
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 365 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 65.00
520 ## - SUMMARY, ETC.
Summary, etc. Would you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business enterprises--Technological innovations
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kaefer, Paul
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
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 Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences IN30581 31-01-2023 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 02/22/2023 Overseas Press India Private 3636.96   005.133 KAE 004633 02/22/2023 1 5531.50 02/22/2023 Book

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