Programming with Python for Social Scientists

Häftad, Engelska, 2019

Av Phillip Brooker, UK) Brooker, Phillip (University of Liverpool

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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. Programming with Python for Social Scientists 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:

the fundamentals of why and how to do your own programming in social scientific research,
questions of ethics and research design,
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 analysis, and more.

Accompanied by numerous code examples, screenshots, sample data sources, this is the textbook for social scientists looking for a complete introduction to programming with Python and incorporating it into their research design and analysis.

Produktinformation

Utgivningsdatum2019-12-24
Mått170 x 242 x 19 mm
Vikt570 g
FormatHäftad
SpråkEngelska
Antal sidor328
Upplaga1
FörlagSAGE Publications
ISBN9781526431721

Tillhör följande kategorier

Sociologi inom Samhalle och politik
Referensverk och tvärvetenskap inom Samhalle och politik
Programspråk inom Data och it

Phillip Brooker is a Senior Lecturer in Sociology at the University of Liverpool, with interdisciplinary research interests in and around ethnomethodology and conversation analysis, science and technology studies, and human-computer interaction. On the platform of a record of research in digital methods and social media analytics, one strand of his current research is the exploration of the potential for computer programming to feature in core social science research methods training (Programming-as-Social-Science, or PaSS); an interest manifest in his recently-published book entitled “Programming with Python for Social Scientists” (SAGE).

IntroductionChapter 1.What is Programming? And What Could it Mean for Social Science Research?Chapter 2. Programming-as-Social-Science (Critical CodingChapter 3.Setting Up to Start CodingChapter 4.Core Concepts/ObjectsChapter 5.Structuring ObjectsChapter 6.Building Better Code with (Slightly) More Complex Concepts/ObjectsChapter 7.Building New Objects with ClassesChapter 8.Useful Extra Concepts/PracticesChapter 9.Designing Research that Features ProgrammingChapter 10.Working with Text FilesChapter 11.Data Collection: Using Social Media APIsChapter 12.Data Decoding/Encoding in Popular Formats (CSV, JSON and XML)Chapter 13.Data Collection: Web ScrapingChapter 14.Visualising DataConclusion: Using Your Programming-as-Social-Science Mindset