Frederick Kaefer, Paul Kaefer
Introduction to Python Programming for Business and Social Science Applications
Introduction to Python Programming for Business and Social Science Applications
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Excellent- More about Introduction to Python Programming for Business and Social Science Applications
The book provides a step-by-step guide to using Python for data analysis, with examples from the General Social Survey and a taxi trip dataset. It covers installing and working within a programming environment, basic skills, programming logic, data input and output, data frames, web scraping, statistical analysis, machine learning, and data visualization. Advanced information on developing graphical user interfaces (GUIs) is also included.
Format: Paperback / softback
Length: 392 pages
Publication date: 28 October 2020
Publisher: SAGE Publications Inc
Introduction to Python Programming for Business and Social Science Applications shows you how to gather and analyze big data sets, and visualize the output, all in one program. Written for those with no programming background, this book will teach you how to use Python for your research and data analysis.
This application-oriented text focuses on only what the reader needs to know to research and answer business and social science questions with Python. The authors walk the reader through each step of the python installation and analysis process, including exercises throughout so they can immediately try out the functions they have learnt.
Weight: 798g
Dimension: 205 x 259 x 29 (mm)
ISBN-13: 9781544377445
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