Programming with Python for Social Scientists

Author:   Phillip Brooker (University of Liverpool, UK) ,  Author
Publisher:   SAGE Publications Ltd
ISBN:  

9781526431721


Pages:   328
Publication Date:   24 December 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Programming with Python for Social Scientists


Overview

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.

Full Product Details

Author:   Phillip Brooker (University of Liverpool, UK) ,  Author
Publisher:   SAGE Publications Ltd
Imprint:   SAGE Publications Ltd
Weight:   0.570kg
ISBN:  

9781526431721


ISBN 10:   1526431726
Pages:   328
Publication Date:   24 December 2019
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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. 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 Mindset

Reviews

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


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 Information

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).

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