riddell allen (23 risultati)

Condizione: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condizione: Muy bueno. : Sumérgete en una antología escalofriante con 'Cuentos de Horror', una colección de relatos clásicos de maestros del género como Edgar Allan Poe, Nathaniel Hawthorne, J. Sheridan Le Fanu, Guy de Maupassant, Charlotte Riddell, Ambrose Bierce y Fitz-James O'Brien. Esta edición de Siruela Bolsillo ofrece una selección de historias que exploran los rincones más oscuros de la psique humana y los horrores sobrenaturales, presentados en una cuidada traducción al español. EAN: 9788478443406 Tipo: Libros Categoría: Literatura y Ficción Título: Cuentos de horror Autor: Edgar Allan Poe| Nathaniel Hawthorne| J. Sheridan Le Fanu| Guy de Maupassant| Charlotte Riddell| Ambrose Bierce| Fitz-James O'Brien Editorial: SIRUELA: BOLSILLO Idioma: es-ES Páginas: 164 Formato: libro de bolsillo.

Condizione: New.

Hardback. Condizione: New. 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.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Hardback. Condizione: New. 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.

Condizione: New. In.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Brand New. 337 pages. 10.25x7.25x1.00 inches. In Stock.

Hardback. Condizione: New. 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.

Gebunden. Condizione: New. &Uumlber den AutorFolgert Karsdorp, Mike Kestemont, and Allen Riddell.

Condizione: Very good.

Buch. Condizione: Neu. Neuware - 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.

Hardback. Condizione: New. 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.

Buch. Condizione: Neu. Humanities Data Analysis | Case Studies with Python | Allen Riddell (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2021 | Princeton University Press | EAN 9780691172361 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Hardcover. Condizione: Fine. Condizione sovraccoperta: Fine. First Edition. Complete set of The Little Book Series IV: Past Masters of Horror and Dark Fantasy. Signed limited editions, all matching number 182. Fifteen hardcovers in three slipcases. Clean and bright. Bindings strong. Minimal shelf wear. Lovely set in fine condition. Additional photos available upon request. All of our books are carefully wrapped and shipped in a box. Signed by Authors.

Paperback. Condizione: Brand New. 140 pages. 8.27x5.83x0.59 inches. In Stock. This item is printed on demand.

No Binding. Condizione: Very Good. Typewritten. 325 x 204 mm, 2pp. foolscap stapled, featuring list of artists and accompanying exhibits, published to coincide with 'Photopoetry' exhibition - '12 countries 56 contributors' - held at Polytechnic of Central London, March 13 - April 1 1978. Particularly rare document. Featuring the following 'photo-poets': Paul de Vree (Belgium); Ian Breakwell, Paula Claire, Michael Gibbs, Peter Mayer, Edwin Morgan, Betty Radin and Alan Riddell (Britain); Julien Blaine, Jean-Francois Bory and Jochen Gerz (France); Timm Ulrichs (Germany); John Liggins (Holland); Ed Ruscha (USA) - among many others. Condition: lines of fold and curling to edges. VG.

LeatherBound. Condizione: New. BOOKS ARE EXEMPT FROM IMPORT DUTIES AND TARIFFS; NO EXTRA CHARGES APPLY. LeatherBound edition. Condition: New. Reprinted from 1966 edition. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. A perfect gift for your loved ones. Pages: 128 NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Pages: 128 Riddell, Robert Allen.;