00879nam a22002291i 450099100052994970753620030108170832.0021015s1971 fr |||||||||||||||||fre b12018351-39ule_instARCHE-010815ExLDip.to Filologia Ling. e Lett.itaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.Lecercle, Jean Louis182528L'amour de l'idéal au réel /Jean Louis LecercleParis :Bordas,1971254 p. ;18 cmEtude critique illustrée.b1201835128-04-1701-04-03991000529949707536LE008 FL.M. FR. XVII D 361LE008IFM-8889le008-E0.00-l- 00000.i1230643501-04-03Amour de l'idéal au réel132695UNISALENTOle00801-04-03ma -frefr 2103900nam 22005895 450 991048305960332120250610110437.03-030-36826-210.1007/978-3-030-36826-5(CKB)4920000000496078(DE-He213)978-3-030-36826-5(MiAaPQ)EBC6184653(PPN)243762852(MiAaPQ)EBC29090547(EXLCZ)99492000000049607820200422d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputational Frameworks for Political and Social Research with Python /by Josh Cutler, Matt Dickenson1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XV, 209 p. 18 illus.) Textbooks on Political Analysis,2522-03733-030-36825-4 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.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.Textbooks on Political Analysis,2522-0373StatisticsPolitical scienceSocial sciencesStatistics for Social Sciences, Humanities, Lawhttps://scigraph.springernature.com/ontologies/product-market-codes/S17040Political Science and International Relations, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/900000Methodology of the Social Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/X17000Statistics.Political science.Social sciences.Statistics for Social Sciences, Humanities, Law.Political Science and International Relations, general.Methodology of the Social Sciences.005.133Cutler Joshauthttp://id.loc.gov/vocabulary/relators/aut1013802Dickenson Mattauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910483059603321Computational Frameworks for Political and Social Research with Python2359379UNINA