Introduction to Python Programming for Business and Social Science Applications

This book PDF is perfect for those who love Business & Economics genre, written by Frederick Kaefer and published by SAGE Publications which was released on 06 August 2020 with total hardcover pages 542. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Introduction to Python Programming for Business and Social Science Applications books below.

Introduction to Python Programming for Business and Social Science Applications
Author : Frederick Kaefer
File Size : 53,6 Mb
Publisher : SAGE Publications
Language : English
Release Date : 06 August 2020
ISBN : 9781544377483
Pages : 542 pages
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Introduction to Python Programming for Business and Social Science Applications by Frederick Kaefer Book PDF Summary

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. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.

Introduction to Python Programming for Business and Social Science Applications

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

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