Computational Frameworks for Political and Social Research with Python / / by Josh Cutler, Matt Dickenson
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| Autore: |
Cutler Josh
|
| Titolo: |
Computational Frameworks for Political and Social Research with Python / / by Josh Cutler, Matt Dickenson
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (XV, 209 p. 18 illus.) |
| Disciplina: | 005.133 |
| Soggetto topico: | Statistics |
| Political science | |
| Social sciences | |
| Statistics for Social Sciences, Humanities, Law | |
| Political Science and International Relations, general | |
| Methodology of the Social Sciences | |
| Persona (resp. second.): | DickensonMatt |
| Nota di contenuto: | Chapter 1. Getting Started With Python -- Chapter 2. Building Software -- Chapter 3. Object-Oriented Programming -- Chapter 4. Introduction to Algorithms -- Chapter 5. Introduction to Data Structures -- Chapter 6. Input, Output, and the Web -- Chapter 7. Application Programming Interfaces -- Chapter 8. Databases -- Chapter 9. NoSQL Databases -- Chapter 10. Introduction to Machine Learning with Python -- Chapter 11. Linear Programming -- Chapter 12. Practical Programming -- Chapter 13. Case Study: Image Processing -- Chapter 14. Case Study: Natural Language Processing -- Chapter 15. Conclusion. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Computational Frameworks for Political and Social Research with Python |
| ISBN: | 3-030-36826-2 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483059603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Textbooks on Political Analysis, . 2522-0373