Computational Frameworks for Political and Social Research with Python

This book PDF is perfect for those who love Social Science genre, written by Josh Cutler and published by Springer Nature which was released on 22 April 2020 with total hardcover pages 213. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational Frameworks for Political and Social Research with Python books below.

Computational Frameworks for Political and Social Research with Python
Computational Frameworks for Political and Social Research with Python
Author : Josh Cutler
File Size : 49,7 Mb
Publisher : Springer Nature
Language : English
Release Date : 22 April 2020
ISBN : 9783030368265
Pages : 213 pages
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Computational Frameworks for Political and Social Research with Python by Josh Cutler Book PDF Summary

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.

Computational Frameworks for Political and Social Research with Python

Computational Frameworks for Political and Social Research with Python by Josh Cutler,Matt Dickenson

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.

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