Karsdorp Folgert (30 results)
- Hardcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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£ 9.43
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Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
- Hardcover
Seller: Better World Books: West, Reno, NV, U.S.A.Better World Books: West
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£ 9.51
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Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
- Hardcover
Seller: Better World Books, Mishawaka, IN, U.S.A.Better World Books
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£ 9.51
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Condition: 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.
- Hardcover
Seller: HPB-Emerald, Dallas, TX, U.S.A.HPB-Emerald
Contact seller5-star sellerCondition: Used - Very good
£ 11.36
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hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.
- Hardcover
Seller: Strand Book Store, ABAA, New York, NY, U.S.A.Strand Book Store, ABAA
Contact seller4-star sellerCondition: Used - Very good
£ 15.11
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Hardcover. Condition: Very Good.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 46.86
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Condition: New.
- Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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£ 48.87
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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£ 51.42
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Hardback. Condition: 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 th…is 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.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 48.45
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Condition: New.
- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 42.45
£ 7.63 shippingShips from United Kingdom to U.S.A.Quantity: 6 available
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 46.16
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Condition: New.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 51.37
£ 1.94 shippingShips within U.S.A.Quantity: 7 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 47.94
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Condition: New.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 42.44
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Condition: New.
- Hardcover
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
Contact seller5-star sellerCondition: New
£ 50.81
£ 9.43 shippingShips from Italy to U.S.A.Quantity: 18 available
Condition: new.
Language: English
Published by Princeton University Press, New Jersey, 2021
- Hardcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
£ 60.90
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Hardcover. Condition: new. Hardcover. 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 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 address Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
£ 60.93
Free ShippingShips from United Kingdom to U.S.A.Quantity: 9 available
Hardback. Condition: 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 th…is 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.
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
£ 48.25
£ 11.98 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Condition: New. In.
- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
£ 55.24
£ 8.14 shippingShips from Ireland to U.S.A.Quantity: 18 available
Condition: New. 2021. Hardcover. . . . . .
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 49.15
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 54.96
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 337 pages. 10.25x7.25x1.00 inches. In Stock.
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contact seller5-star sellerCondition: New
£ 65.40
£ 7.72 shippingShips within U.S.A.Quantity: 18 available
Condition: New. 2021. Hardcover. . . . . . Books ship from the US and Ireland.
- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
Contact seller5-star sellerCondition: New
£ 53.41
£ 22.55 shippingShips from United Kingdom to U.S.A.Quantity: 6 available
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
- Hardcover
Seller: Speedyhen, Hertfordshire, United KingdomSpeedyhen
Contact seller5-star sellerCondition: New
£ 38.04
£ 41.00 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Condition: NEW.
- Hardcover
Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
Contact seller5-star sellerCondition: New
£ 51.79
£ 36.77 shippingShips within U.S.A.Quantity: Over 20 available
Hardback. Condition: 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 th…is 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.
- Hardcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 53.31
£ 41.99 shippingShips from Germany to U.S.A.Quantity: 3 available
Gebunden. Condition: New. Über den AutorFolgert Karsdorp, Mike Kestemont, and Allen Riddell.
- Hardcover
Seller: Mooney's bookstore, Den Helder, NetherlandsMooney's bookstore
Contact seller4-star sellerCondition: Used - As new
£ 100.05
£ 12.81 shippingShips from Netherlands to U.S.A.Quantity: 1 available
Condition: As New.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 56.16
£ 56.46 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: 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. Desp…ite 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 Python- Applicable to many humanities disciplines, including history, literature, and sociology- Offers real-world case studies using publicly available data sets- Provides exercises at the end of each chapter for students to test acquired skills- Emphasizes visual storytelling via data visualizations.
Language: English
Published by Princeton University Press, New Jersey, 2021
- Hardcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 96.15
£ 27.21 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. 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 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 address Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 55.37
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: 9 available
Hardback. Condition: 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 th…is 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.
