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Author: Phillip D. Brooker Publisher: SAGE ISBN: 1526486342 Category : Social Science Languages : en Pages : 354
Book Description
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.
Author: Phillip D. Brooker Publisher: SAGE ISBN: 1526486342 Category : Social Science Languages : en Pages : 354
Book Description
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.
Author: Frederick Kaefer Publisher: SAGE Publications ISBN: 1544377487 Category : Business & Economics Languages : en Pages : 553
Book Description
Would you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.
Author: Claudio Cioffi-Revilla Publisher: Springer Science & Business Media ISBN: 1447156617 Category : Computers Languages : en Pages : 342
Book Description
This reader-friendly textbook is the first work of its kind to provide a unified Introduction to Computational Social Science (CSS). Four distinct methodological approaches are examined in detail, namely automated social information extraction, social network analysis, social complexity theory and social simulation modeling. The coverage of these approaches is supported by a discussion of the historical context, as well as by a list of texts for further reading. Features: highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics; explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches; discusses a number of methodological tools; presents the main classes of entities, objects and relations common to the computational analysis of social complexity; examines the interdisciplinary integration of knowledge in the context of social phenomena.
Author: Edward E. Brent Publisher: Temple University Press ISBN: 9780877226666 Category : Social Science Languages : en Pages : 506
Book Description
Presenting an introduction to computing and advice on computer applications, this book examines hardware and software with respect to the needs of the social scientist. It offers a framework for the use of computers, with focus on the 'work station', the center of which is a personal computer connected to networks by a telephone-based modem.
Author: John McLevey Publisher: SAGE ISBN: 1529736706 Category : Business & Economics Languages : en Pages : 689
Book Description
Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Author: John McLevey Publisher: SAGE ISBN: 1529737591 Category : Social Science Languages : en Pages : 556
Book Description
Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Author: Subrata Dasgupta Publisher: Oxford University Press ISBN: 0198733461 Category : Computers Languages : en Pages : 169
Book Description
While the development of Information Technology has been obvious to all, the underpinning computer science has been less apparent. Subrata Dasgupta provides a thought-provoking introduction to the field and its core principles, considering computer science as a science of symbol processing.
Author: Perry Donham Publisher: Cognella Academic Publishing ISBN: 9781634876742 Category : Languages : en Pages :
Book Description
Introduction to Computer Science introduces students to the fundamentals of computer science by connecting the dots between applications they use every day and the underlying technologies that power them. Throughout, students learn valuable technical skills including how to write simple JavaScript programs, format a webpage with HTML and CSS code, reduce the size of a file, and more. Opening chapters of the text provide students with historical background, describe the numbering systems that computers operate with, and explain how computers store and convert data such as images and music. Later chapters explore the anatomy of computer hardware such as CPUs and memory, how computers communicate over networks, and the programming languages that allow us to solve problems using computation. The book concludes with chapters dedicated to security and privacy, the structure and function of operating systems, and the world of e-commerce. Accessible in approach, Introduction to Computer Science is designed to help non-computer science majors learn how technology and computers power the world around them. The text is well suited for introductory courses in computer science.
Author: Phillip D. Brooker
Author: Phillip D. Brooker![Introduction to Computer Programming for the Social Sciences [by] Peter B. Harkins, Thomas L. Isenhour [and] Peter C. Jurs PDF](https://books.google.com/books/content/images/frontcover/qzHotAEACAAJ?fife=w80-h100)
Author: Peter B. Harkins
Author: Peter B. Harkins
Author: Frederick Kaefer
Author: Claudio Cioffi-Revilla
Author: Edward E. Brent
Author: John McLevey
Author: John McLevey
Author: Subrata Dasgupta
Author: Perry Donham