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Textbooks on Political Analysis

Computational Frameworks for Political and Social Research with Python

Authors: Cutler, Josh, Dickenson, Matt

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  • Introduces core concepts of computer scientists to political and social scientists
  • Teaches researchers how to collect data and use large volumes of data available online
  • Demonstrates how to collect data via popular APIs (Twitter, Google Maps)
  • Enables researchers to utilize unstructured data in statistical analyses
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eBook 62,99 €
price for Spain (gross)
  • ISBN 978-3-030-36826-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Hardcover 77,99 €
price for Spain (gross)
  • ISBN 978-3-030-36825-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this Textbook

This book is intended to serve as the basis for a first course in Python programming for graduate students in political science and related fields. The book introduces core concepts of software development and computer science such as basic data structures (e.g. arrays, lists, dictionaries, trees, graphs), algorithms (e.g. sorting), and analysis of computational efficiency. It then demonstrates how to apply these concepts to the field of political science by working with structured and unstructured data, querying databases, and interacting with application programming interfaces (APIs). Students will learn how to collect, manipulate, and exploit large volumes of available data and apply them to political and social research questions. They will also learn best practices from the field of software development such as version control and object-oriented programming. Instructors will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions.

About the authors

Josh W. Cutler began his career commercializing research at Microsoft Live Labs from 2005 to 2009. He holds a BS degree in computer science and math from UW-Madison and later pursued a PhD at Duke University, where he built predictive models analyzing conflict. He has served in leadership roles at multiple data-focused startups, and founded and led a company to acquisition. He currently leads the AI Platforms and Transformation team at Optum.
Matt Dickenson is a senior software engineer at Uber, applying machine learning to transportation. He holds a BS degree in political science from the University of Houston and an MS degree in computer science from Duke University. He has taught introductory programming and data science courses and workshops at Duke University, Washington University in St. Louis, and the University of Miami.

Table of contents (15 chapters)

Table of contents (15 chapters)

Buy this book

eBook 62,99 €
price for Spain (gross)
  • ISBN 978-3-030-36826-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 77,99 €
price for Spain (gross)
  • ISBN 978-3-030-36825-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Computational Frameworks for Political and Social Research with Python
Authors
Series Title
Textbooks on Political Analysis
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-36826-5
DOI
10.1007/978-3-030-36826-5
Hardcover ISBN
978-3-030-36825-8
Series ISSN
2522-0373
Edition Number
1
Number of Pages
XV, 209
Number of Illustrations
18 b/w illustrations
Topics

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