图书简介
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.
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
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