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Computational Frameworks for Political and Social Research with Python. Pythonを用いた政治・社会研究における コンピュータ的枠組み
・ISBN 978-3-030-36825-8 hard EUR 99.99
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| 著者・編者 | Cutler, Josh / Dickenson, Matt, |
|---|---|
| シリーズ | Textbooks on Political Analysis |
| 出版社 | (Springer, GW) |
| 出版年月 | 2020 |
| ページ数 | 262 pp. |
| 言語 | ENG |
| ニュース番号 | ＜656-1292 656-28＞ |
解説
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.