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Computational Frameworks for Political and Social Research with Python - Couverture rigide

Cutler

 
9783030368258: Computational Frameworks for Political and Social Research with Python

Synopsis

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.

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À propos de l'auteur

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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Autres éditions populaires du même titre

9783030368289: Computational Frameworks for Political and Social Research with Python

Edition présentée

ISBN 10 :  3030368289 ISBN 13 :  9783030368289
Editeur : Springer, 2021
Couverture souple