Programming with Python for Social Scientists av Phillip (University of Liverpool UK) Brooker

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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. <strong><em>Programming with Python for Social Scientists</em></strong> offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge. It guides you through the full research process, from question to publication, including:<ul><li>the fundamentals of why and how to do your own programming in social scientific research,</li><li>questions of ethics and research design,</li><li>a clear, easy to follow ''how-to'' guide to using Python, with a wide array of applications such as data visualisation, social media data research, social network an