Computational Frameworks for Political and Social Research with Python [[electronic resource] /] / by Josh Cutler, Matt Dickenson
| Computational Frameworks for Political and Social Research with Python [[electronic resource] /] / by Josh Cutler, Matt Dickenson |
| Autore | Cutler Josh |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 209 p. 18 illus.) |
| Disciplina | 005.133 |
| Collana | Textbooks on Political Analysis |
| Soggetto topico |
Statistics
Political science Social sciences Statistics for Social Sciences, Humanities, Law Political Science and International Relations, general Methodology of the Social Sciences |
| ISBN | 3-030-36826-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNISA-996418196703316 |
Cutler Josh
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Computational Frameworks for Political and Social Research with Python / / by Josh Cutler, Matt Dickenson
| Computational Frameworks for Political and Social Research with Python / / by Josh Cutler, Matt Dickenson |
| Autore | Cutler Josh |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 209 p. 18 illus.) |
| Disciplina | 005.133 |
| Collana | Textbooks on Political Analysis |
| Soggetto topico |
Statistics
Political science Social sciences Statistics for Social Sciences, Humanities, Law Political Science and International Relations, general Methodology of the Social Sciences |
| ISBN | 3-030-36826-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910483059603321 |
Cutler Josh
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||