 Название: Programming with Python for Social Scientists
Автор: Phillip D. Brooker
Издательство: SAGE Publications Ltd
Год: 2020
Страниц: 388
Язык: английский
Формат: pdf, djvu
Размер: 10.1 MB
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.
Who is this book for?
It’s probably no surprise that the intended audience of a book called Programming with Python for Social Scientists is social scientists who want to learn to program. In Python. And why this book? That can be boiled down to the following statements:
1. Social science digital methods resources don’t typically cover programming. This makes it difficult to think about the practical aspects of doing Digital Social Science work, and it limits our capacity to be reflexive about our methods and methodologies when we use software tools developed by others.
2. Python programming resources, on the other hand, don’t speak to the requirements of social science, and this makes it difficult to see how the general-purpose/abstract knowledge and skills transmitted through those resources can fit into the work we are trying to do.
3. The value of this book is that it handles both social science and computer programming simultaneously – it demonstrates Python as a social science research toolkit and walks through some examples of those tools in use in social-science-relevant tasks, but also shows you how to think about programming as a research method more widely.
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.
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Programming with Python for Social Scientists 
