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Python Client for Google Cloud Video Intelligence |beta| |pypi| |versions| |compat_check_pypi| |compat_check_github|Google Cloud Video Intelligence_ API makes videos searchable, and discoverable, by extracting metadata with an easy to use API. You can now search every moment of every video file in your catalog and find every occurrence as well as its significance. It quickly annotates videos...
Python Client for Google Cloud Vision |beta| |pypi| |versions| |compat_check_pypi| |compat_check_github|The Google Cloud Vision_ API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects...
Python3 bindings for gRPC library.
gRPC-GCP Python Package for gRPC-GCP Python.Installation gRPC-GCP Python is available wherever gRPC is available.From PyPI If you are installing locally...:: $ pip install grpcio-gcpElse system wide (on Ubuntu)...:: $ sudo pip install grpcio-gcpUsage Create a config file (e.g. spanner.grpc.config) defining API configuration, with ChannelPoolConfig and MethodConfig.:: channel_pool: { max_size:...
HdfsCLI [ Out[1]: ['1.json', '2.json']In [2]: CLIENT.status('models/2.json') Out[2]: { 'accessTime': 1439743128690, 'blockSize': 134217728, 'childrenNum': 0,
HMSClient This project aims to be an up to date Python client to interact with the Hive metastore using the Thrift protocol.Installation Install it with pip install hmsclient or directly from source.. code-block:: python python setup.py installUsage Using it from Python is simple:.. code-block:: python from hmsclient import hmsclient client hmsclient.HMSClient(host'localhost', port9083) with...
JayDeBeApi - bridge from JDBC database drivers to Python DB-API :target:
Fake pymongo stub for testing simple MongoDB-dependent code
nose extends the test loading and running features of unit test, making it easier to write, find and run tests. By default, nose will run tests in files or directories under the current working directory whose names include "test" or "Test" at a word boundary (like "test_this" or "functional_test" or "TestClass" but not "libtest"). Test output is similar to that of unit test, but also includes captured stdout output from failing tests, for easy print-style debugging. These features, and many more, are customizable through the use of plugins. Plugins included with nose provide support for doctest, code coverage and profiling, flexible attribute-based test selection, output capture and more. This package installs the nose module and nosetests3 program that can discover python3 unit tests.