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OverviewAs 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. Full Product DetailsAuthor: Phillip Brooker (University of Liverpool, UK) , AuthorPublisher: SAGE Publications Ltd Imprint: SAGE Publications Ltd Weight: 0.730kg ISBN: 9781526431714ISBN 10: 1526431718 Pages: 328 Publication Date: 24 December 2019 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction Chapter 1. What is Programming? And What Could it Mean for Social Science Research? Chapter 2. Programming-as-Social-Science (Critical Coding Chapter 3. Setting Up to Start Coding Chapter 4. Core Concepts/Objects Chapter 5. Structuring Objects Chapter 6. Building Better Code with (Slightly) More Complex Concepts/Objects Chapter 7. Building New Objects with Classes Chapter 8. Useful Extra Concepts/Practices Chapter 9. Designing Research that Features Programming Chapter 10. Working with Text Files Chapter 11. Data Collection: Using Social Media APIs Chapter 12. Data Decoding/Encoding in Popular Formats (CSV, JSON and XML) Chapter 13. Data Collection: Web Scraping Chapter 14. Visualising Data Conclusion: Using Your Programming-as-Social-Science MindsetReviewsGreat resource for all students and researchers looking for a clear, accessible, yet comprehensive introduction to Python and coding. -- Nicola Perra This is an engaging, insightful and sophisticated guide to Python for social scientists. It's a manual of the highest quality and a practice led intervention with the potential to shape the future of the digital social sciences. I can't recommend it highly enough. -- Mark Carrigan Great resource for all students and researchers looking for a clear, accessible, yet comprehensive introduction to Python and coding. -- Nicola Perra This is an engaging, insightful and sophisticated guide to Python for social scientists. It's a manual of the highest quality and a practice led intervention with the potential to shape the future of the digital social sciences. I can't recommend it highly enough. -- Mark Carrigan Great resource for all students and researchers looking for a clear, accessible, yet comprehensive introduction to Python and coding. -- Nicola Perra Author InformationPhillip 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). Tab Content 6Author Website:Countries AvailableAll regions |
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