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Python and HDF5
Published by O'Reilly Media (edition 1), 2013
ISBN 10: 1449367836 ISBN 13: 9781449367831
Language: English
Paperback. Condition: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Python and HDF5 Unlocking Scie
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Python and HDF5
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Python and HDF5 (Paperback or Softback)
Published by O'Reilly Media 11/11/2013, 2013
ISBN 10: 1449367836 ISBN 13: 9781449367831
Language: English
Paperback or Softback. Condition: New. Python and HDF5. Book.
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Condition: new.
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Python and HDF5
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you'll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you're familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. Get set up with HDF5 tools and create your first HDF5 file Work with datasets by learning the HDF5 Dataset object Understand advanced features like dataset chunking and compression Learn how to work with HDF5's hierarchical structure, using groups Create self-describing files by adding metadata with HDF5 attributes Take advantage of HDF5's type system to create interoperable files Express relationships among data with references, named types, and dimension scales Discover how Python mechanisms for writing parallel code interact with HDF5.
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Condition: New.
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Paperback. Condition: New. Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you'll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you're familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. Get set up with HDF5 tools and create your first HDF5 file Work with datasets by learning the HDF5 Dataset object Understand advanced features like dataset chunking and compression Learn how to work with HDF5's hierarchical structure, using groups Create self-describing files by adding metadata with HDF5 attributes Take advantage of HDF5's type system to create interoperable files Express relationships among data with references, named types, and dimension scales Discover how Python mechanisms for writing parallel code interact with HDF5.
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Condition: New.
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Python and HDF5
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Python and Hdf5
Published by O'Reilly Media, Incorporated, 2013
ISBN 10: 1449367836 ISBN 13: 9781449367831
Language: English
Condition: New. pp. 152.
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Python and HDF5
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
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Condition: very_good. This book is in Very Good condition. The cover and pages have minor shelf wear. Binding is tight and pages are intact.
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Python and Hdf5
Published by O'Reilly Media, Incorporated, 2013
ISBN 10: 1449367836 ISBN 13: 9781449367831
Language: English
Condition: New. pp. 152 Index.
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Python and HDF5: Unlocking Scientific Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Python and HDF5
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Num Pages: 142 pages, illustrations. BIC Classification: UMW. Category: (XV) Technical / Manuals. Dimension: 234 x 178 x 9. Weight in Grams: 276. . 2013. 1st Edition. Paperback. . . . .
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Pathfinder Lost Omens Rival Academies (P2)
Published by Paizo Publishing, LLC, US, 2025
ISBN 10: 164078652X ISBN 13: 9781640786523
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. The finest mages, scientists, and academics of the Age of Lost Omens are gathering! Journey to a fortress-city in demon-ravaged Sarkoris to learn the ancient magical secrets of the Magaambya's wizards, Lepidstadt's bleeding-edge theories on reanimating flesh with electricity, the extraplanar fey philosophies of the Cobyslarni, and the lore of more than a dozen other academies! With so many prominent scholars in one place, rivalries are sure to abound-whether in the classroom, on the sports fields, or during field trips to dangerous lands.This 128-page book gives GMs and players a vibrant roster of luminaries, students, athletes, and wizards to build their very own magical academies. Whether players build bonds with classmates or clash with rivals, they'll gain diverse options like advanced spymaster gear, dazzling new martial arts techniques, or new wizard spells and schools, including the remastered Runelord!
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Pathfinder Lost Omens Rival Academies (P2)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New.
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Condition: New. Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Num Pages: 142 pages, illustrations. BIC Classification: UMW. Category: (XV) Technical / Manuals. Dimension: 234 x 178 x 9. Weight in Grams: 276. . 2013. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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Python and Hdf5
Published by Oreilly & Associates Inc, 2013
ISBN 10: 1449367836 ISBN 13: 9781449367831
Language: English
Paperback. Condition: Brand New. 142 pages. 9.19x7.00x0.40 inches. In Stock.
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hardcover. Condition: New.
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Condition: New.
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Condition: New.
