Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
EUR 3,86
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Añadir al carritoCondición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 5,67
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Añadir al carritoPaperback. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.1.
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 5,67
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Añadir al carritoPaperback. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.1.
Librería: Brit Books, Milton Keynes, Reino Unido
EUR 4,36
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Añadir al carritoPaperback. Condición: Used; Very Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.
Publicado por O'Reilly Media, Incorporated, 2016
ISBN 10: 1491920513 ISBN 13: 9781491920510
Idioma: Inglés
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 9,28
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Añadir al carritoCondición: Good. Used book that is in clean, average condition without any missing pages.
Publicado por O'Reilly Media, Incorporated, 2016
ISBN 10: 1491920513 ISBN 13: 9781491920510
Idioma: Inglés
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 9,28
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Añadir al carritoCondición: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 27,40
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.6.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 24,31
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 42,67
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 34,80
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
EUR 43,45
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Añadir al carritoCondición: NEW.
Publicado por O'Reilly Media 1/17/2023, 2023
ISBN 10: 1098111877 ISBN 13: 9781098111878
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 43,57
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Añadir al carritoPaperback or Softback. Condición: New. Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data 1.98. Book.
Librería: Buchpark, Trebbin, Alemania
EUR 38,84
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Añadir al carritoCondición: Gut. Zustand: Gut | Seiten: 566 | Sprache: Englisch | Produktart: Bücher.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 49,77
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Añadir al carritoCondición: New. In.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 49,77
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 209.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 54,18
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Añadir al carritoPaperback. Condición: New. How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. You'll learn how to: Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 53,89
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Añadir al carritoCondición: New. 2022. 2nd Edition. Paperback. . . . . .
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 40,49
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: SecondSale, Montgomery, IL, Estados Unidos de America
EUR 27,31
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Añadir al carritoCondición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 41,03
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Añadir al carritoCondición: New.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 55,63
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. You'll learn how to: Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries.
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 33,73
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Añadir al carritoPaperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 42,66
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 48,83
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 65,28
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. You'll learn how to: Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 66,87
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Añadir al carritoCondición: New. 2022. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
Publicado por O'Reilly Media (edition 1), 2016
ISBN 10: 1491920513 ISBN 13: 9781491920510
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 3,77
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Añadir al carritoPaperback. Condición: Fair. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 8,39
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Añadir al carritopaperback. Condición: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 73,10
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. You'll learn how to: Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries.
Librería: moluna, Greven, Alemania
EUR 57,74
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Añadir al carritoCondición: New. Über den AutorKyran Dale is a jobbing programmer, ex-research scientist, recreational hacker, independent researcher, occasional entrepreneur, cross-country runner and improving jazz pianist. During 15 odd years as a research scient.