Description: About this Item The item is a book Paperback The Author Name is Andrew Collete The Title is Python and HDF5 : Unlocking Scientific Data Condition New Other Comments Pages Count - 148. Category - Computers Product Description - 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 We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167486587
Price: 38.24 USD
Location: US
End Time: 2024-12-22T12:30:17.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media, Inc, USA
Weight: 0.26
Style: NA
Title: Python and HDF5 Unlocking Scientific Data
Release Title: Python and HDF5 Unlocking Scientific Data
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Python and HDF5 Unlocking Scientific Data
Colour: NA
Material: NA
Department: NA
Movie/TV Title: Python and HDF5 Unlocking Scientific Data
UPC: 9781449367831
EAN: 9781449367831
ISBN: 9781449367831
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 152 Pages
Publication Name: Python and Hdf5 : Unlocking Scientific Data
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2013
Subject: General, Databases / General, Programming Languages / Python
Item Height: 0.5 in
Type: Textbook
Item Weight: 9.5 Oz
Subject Area: Mathematics, Computers
Author: Andrew Collette
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
