Sprache: Englisch
Verlag: O'Reilly Media (edition 1), 2016
ISBN 10: 1491920513 ISBN 13: 9781491920510
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Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2016
ISBN 10: 1491920513 ISBN 13: 9781491920510
Anbieter: Better World Books, Mishawaka, IN, USA
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Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2016
ISBN 10: 1491920513 ISBN 13: 9781491920510
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2016
ISBN 10: 1491920513 ISBN 13: 9781491920510
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: 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.
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Anbieter: Real Books R Better, Thompsons Station, TN, USA
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Paperback or Softback. Zustand: New. Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data. Book.
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Paperback. Zustand: 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.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 42,67
Anzahl: 6 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098111877 ISBN 13: 9781098111878
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. 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 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: London Bridge Books, London, Vereinigtes Königreich
EUR 5,49
Anzahl: 1 verfügbar
In den Warenkorbpaperback. Zustand: Good.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
Zustand: new.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 42,66
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In den WarenkorbZustand: New.
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 62,32
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: 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.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 49,57
Anzahl: 2 verfügbar
In den WarenkorbZustand: New. In.
Zustand: NEW.
Sprache: Englisch
Verlag: O'Reilly Media 2022-12-31, 2022
ISBN 10: 1098111877 ISBN 13: 9781098111878
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 46,55
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: New.