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Textbooks on Political Analysis
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Textbooks on Political Analysis
Cutler, Josh; Dickenson, Matt
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
Published by: Springer
Publication Date: 2021-04-23
Format: Paperback
ISBN-13: 9783030368289
DOI: 10.1007/978-3-030-36826-5
Dimensions: 235cm x155cm
Pages: 209