As data become ′big′, fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of – and control over – how these computing tools and algorithms are implemented.
Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science,...
Spis treści
Introduction
Chapter 1. What is Programming? And What Could it Mean for Social Science Research?
Chapter 2. Programming-as-Social-Science (Critical Coding
Chapter 3. Set...
O autorze
Phillip Brooker is a Senior Lecturer in Sociology at the University of Liverpool, with interdisciplinary research interests in and around ethnomethodology and conversation...