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Computational Frameworks for Political and Social Research with Python
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Computational Frameworks for Political and Social Research with Python Hardback - 2020

by Josh Cutler; Matt Dickenson

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Reader reviews for Computational Frameworks for Political and Social Research with Python

From the publisher

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.

From the rear cover

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.

Details

  • Title Computational Frameworks for Political and Social Research with Python
  • Author Josh Cutler; Matt Dickenson
  • Binding Hardback
  • Pages 209
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2020-04-23
  • Illustrated Yes
  • Features Illustrated
  • ISBN 9783030368258 / 3030368254
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 9.21 x 6.14 x 0.56 in (23.39 x 15.60 x 1.42 cm)
  • Category Sociology

About the author

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.

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Computational Frameworks for Political and Social Research with Python

Computational Frameworks for Political and Social Research with Python

by Josh Cutler

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  • Hardback
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ISBN 10 / ISBN 13
9783030368258 / 3030368254
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Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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.
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Computational Frameworks for Political and Social Research with Python (Textbooks on Political...
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Computational Frameworks for Political and Social Research with Python (Textbooks on Political Analysis)

by Cutler

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1st ed. 2020
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Springer, 2020-04-23. 1st ed. 2020. hardcover. New. 6.14x0.71x9.21. Buy with confidence. Excellent Customer Service & Return policy.
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Computational Frameworks for Political and Social Research with Python
Stock photo: cover may vary

Computational Frameworks for Political and Social Research with Python

by Cutler, Josh (Author)/ Dickenson, Matt (Author)

  • New
  • Hardback
Condition
New
Binding
Hardcover
ISBN 10 / ISBN 13
9783030368258 / 3030368254
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Springer, 2020. Hardcover. New. 224 pages. 9.25x6.10x0.90 inches.
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A$245.30
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Computational Frameworks for Political and Social Research with Python (Textbooks on Political...
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Computational Frameworks for Political and Social Research with Python (Textbooks on Political Analysis)

by Cutler

  • Used
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  • Hardback
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ISBN 10 / ISBN 13
9783030368258 / 3030368254
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hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Computational Frameworks for Political and Social Research with Python (Textbooks on Political...
Stock photo: cover may vary

Computational Frameworks for Political and Social Research with Python (Textbooks on Political Analysis)

by Cutler

  • Used
  • Hardback
  • first
Condition
Used
Edition
1st ed. 2020
Binding
Hardcover
ISBN 10 / ISBN 13
9783030368258 / 3030368254
Quantity available
1
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Item price
A$196.48
Free Delivery to USA

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Description:
Springer, 2020-04-23. 1st ed. 2020. hardcover. Used: Good. 6.14x0.71x9.21. Buy with confidence. Excellent Customer Service & Return policy.
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Item price
A$196.48
Free Delivery to USA