Programming with Python for Social Scientists
- Phillip D. Brooker - University of Liverpool, UK
• 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.
Discover more free Research Methods resources for lecturers, researchers and students across every research area.
Great resource for all students and researchers looking for a clear, accessible, yet comprehensive introduction to Python and coding.
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.
A great resource for social scientists interested in analysing digital data and/or social data.
To introduce students to using Python for social science research.
Recommended to all my students as it supports their social sciences dissertation