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Google Cloud Python Client
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==========================
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Python idiomatic client for Google Cloud Platform services.
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'Python<https://cloud.google.com/appengine/docs/python/>' idiomatic client for 'Google Cloud Platform<https://cloud.google.com/>' services.
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|build| |coverage|
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------------------
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Google Cloud Datastore
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----------------------
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`Google Cloud Datastore <https://developers.google.com/datastore/>`__ is
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`Google Cloud Datastore <https://cloud.google.com/datastore/docs>`__ is
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a fully managed, schemaless database for storing non-relational data.
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Cloud Datastore automatically scales with your users and supports ACID
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transactions, high availability of reads and writes, strong consistency
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for reads and ancestor queries, and eventual consistency for all other
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queries.
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See the `Google Cloud Datastore
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docs <https://developers.google.com/datastore/docs/activate>`__ for more
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docs <https://cloud.google.com/datastore/docs/activate>`__ for more
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details on how to activate Cloud Datastore for your project.
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See `the gcloud-python API
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performance and availability, and can be used to distribute large data
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objects to users via direct download.
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You need to create a Google Cloud Storage bucket to use this client
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You need to create a 'Google Cloud Storage<https://cloud.google.com/storage/>' bucket to use this client
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library. Follow the steps on the `Google Cloud Storage
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