ISBN: 9780691200330

A practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased co… Mehr…

A practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment.The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter.An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions.Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of PythonApplicable to many humanities disciplines, including history, literature, and sociologyOffers real-world case studies using publicly available data setsProvides exercises at the end of each chapter for students to test acquired skillsEmphasizes visual storytelling via data visualizations; PDF; Reference & Languages > Literature: history & criticism, Princeton University Press<

ISBN: 9780691200330

Princeton University Press Programming in Python R for Data Science; Hadley Wickham; Garrett Grolemund; Humanities Data in R; Taylor Arnold; Lauren Tilton; Analyzing Linguistic Data; R. H… Mehr…

Princeton University Press Programming in Python R for Data Science; Hadley Wickham; Garrett Grolemund; Humanities Data in R; Taylor Arnold; Lauren Tilton; Analyzing Linguistic Data; R. H. Baayen; Statistics for Linguistics with R; Stefan Gries; Text Analysis with R for Students of Literature; Matthew Jockers; Python for Data Analysis; Wes McKinney; Python Data Science Handbook; Jake VanderPlas; Python; data humanities; programming; humanities; data science; corpus linguistics; quantitative data analysis; historical cookbooks; data analysis; data gathering; data exchange; Vector Space Model; classical French drama; tabular data; diachronic developments; child naming practices; Pandas; summary statistics; disputed authorship; The Federalist Papers; probability theory; Bayesian inference; geographic maps; visualization techniques; Civil War; American Civil War; Civil War battles; writing styles; authorial styles; stylometric analysis; authorship controversy; US Supreme Court decisions; US Supreme Court; mixed-membership models; topic models; topical shifts; topic modeling; time series analysis; data carpentry; visual storytelling; scientific ecosystem; code blocks 9780691172361, UK,GB,DE,ES,FR,IT,US,CA,MX,AU,NZ 20210112 English Computer Science, Princeton University Press<

ISBN: 9780691200330

*Humanities Data Analysis* - Case Studies with Python / pdf eBook für 51.49 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBoo… Mehr…

*Humanities Data Analysis* - Case Studies with Python / pdf eBook für 51.49 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBooks > Sachthemen & Ratgeber > Computer & Internet, University of Pennsylvania Press Inc.<

ISBN: 9780691200330

Humanities Data Analysis - Case Studies with Python: ab 51.99 € eBooks > Sachthemen & Ratgeber > Computer & Internet University of Pennsylvania Press Inc. eBook als pdf, University of Pen… Mehr…

Humanities Data Analysis - Case Studies with Python: ab 51.99 € eBooks > Sachthemen & Ratgeber > Computer & Internet University of Pennsylvania Press Inc. eBook als pdf, University of Pennsylvania Press Inc.<

2021, ISBN: 9780691200330

Case Studies with Python, eBooks, eBook Download (PDF), [PU: Princeton University Press], Princeton University Press, 2021