Computational Frameworks for Political and Social Research with Python
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. Instructor's will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions.
1134735500
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. Instructor's will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions.
Computational Frameworks for Political and Social Research with Python
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. Instructor's will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions.
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. Instructor's will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions.
69.99
In Stock
5
1
Computational Frameworks for Political and Social Research with Python
209
Computational Frameworks for Political and Social Research with Python
209
69.99
In Stock
Product Details
| ISBN-13: | 9783030368289 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 04/24/2020 |
| Series: | Textbooks on Political Analysis |
| Edition description: | 1st ed. 2020 |
| Pages: | 209 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |
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