Sprache: Englisch
Verlag: O'Reilly Media (edition 1), 2011
ISBN 10: 144930544X ISBN 13: 9781449305444
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: 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.
EUR 21,97
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbPaperback. Zustand: Brand New. 64 pages. 9.00x7.00x0.25 inches. In Stock.
Anbieter: moluna, Greven, Deutschland
EUR 29,40
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In den WarenkorbKartoniert / Broschiert. Zustand: New. If you intend to use Amazon Web Services (AWS) for remote computing and storage, Python is an ideal programming language for developing applications and controlling your cloud-based infrastructure. This cookbook gets you started with more than two dozen rec.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - If you intend to use Amazon Web Services (AWS) for remote computing and storage, Python is an ideal programming language for developing applications and controlling your cloud-based infrastructure. This cookbook gets you started with more than two dozen recipes for using Python with AWS, based on the author's boto library.You'll find detailed recipes for working with the S3 storage service as well as EC2, the service that lets you design and build cloud applications. Each recipe includes a code solution you can use immediately, along with a discussion of why and how the recipe works. You also get detailed advice for using boto with AWS and other cloud services.This book's recipes include methods to help you:\* Launch instances on EC2, and keep track of them with tags\* Associate an Elastic IP address with an instance\* Restore a failed Elastic Block Store volume from a snapshot\* Store and monitor your own custom metrics in CloudWatch\* Create a bucket in S3 to contain your data objects\* Reduce the cost of storing noncritical data\* Prevent accidental deletion of data in S3.