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"info": {
"author": "Pilosa Engineering",
"author_email": "dev@pilosa.com",
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"classifiers": [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: BSD License",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
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"description": "# Python Client for Pilosa\n\n![](\"https://img.shields.io/badge/pilosa-1.3-blue.svg\")
\n![](\"https://img.shields.io/pypi/v/pilosa.svg?maxAge=2592&updated=2\")
\n![](\"https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat\")
\n![](\"https://api.travis-ci.org/pilosa/python-pilosa.svg?branch=master\")
\n![](\"https://coveralls.io/repos/github/pilosa/python-pilosa/badge.svg?branch=master\")
\n\n![](\"https://www.pilosa.com/img/ce.svg\")
\n\nPython client for Pilosa high performance distributed row index.\n\n## What's New?\n\nSee: [CHANGELOG](https://github.com/pilosa/python-pilosa/blob/master/CHANGELOG.md)\n\n## Requirements\n\n* **Compatible with Pilosa 1.2 and Pilosa 1.3**\n* Requires Python 2.7 and higher or Python 3.4 and higher.\n\n## Install\n\nPilosa client is on [PyPI](https://pypi.python.org/pypi/pilosa). You can install the library using `pip`:\n\n```\npip install pilosa\n```\n\n## Usage\n\n### Quick overview\n\nAssuming [Pilosa](https://github.com/pilosa/pilosa) server is running at `localhost:10101` (the default):\n\n```python\nimport pilosa\n\n# Create the default client\nclient = pilosa.Client()\n\n# Retrieve the schema\nschema = client.schema()\n\n# Create an Index object\nmyindex = schema.index(\"myindex\")\n\n# Create a Field object\nmyfield = myindex.field(\"myfield\")\n\n# make sure the index and field exists on the server\nclient.sync_schema(schema)\n\n# Send a Set query. PilosaError is thrown if execution of the query fails.\nclient.query(myfield.set(5, 42))\n\n# Send a Row query. PilosaError is thrown if execution of the query fails.\nresponse = client.query(myfield.row(5))\n\n# Get the result\nresult = response.result\n\n# Act on the result\nif result:\n columns = result.row.columns\n print(\"Got columns: \", columns)\n\n# You can batch queries to improve throughput\nresponse = client.query(\n myindex.batch_query(\n myfield.row(5),\n myfield.row(10),\n ) \n)\nfor result in response.results:\n # Act on the result\n print(result.row.columns)\n```\n\n## Documentation\n\n### Data Model and Queries\n\nSee: [Data Model and Queries](https://github.com/pilosa/python-pilosa/blob/master/docs/data-model-queries.md)\n\n### Executing Queries\n\nSee: [Server Interaction](https://github.com/pilosa/python-pilosa/blob/master/docs/server-interaction.md)\n\n### Importing and Exporting Data\n\nSee: [Importing and Exporting Data](https://github.com/pilosa/python-pilosa/blob/master/docs/imports.md)\n\n### Other Documentation\n\n* [Tracing](docs/tracing.md)\n\n## Contributing\n\nSee: [CONTRIBUTING](https://github.com/pilosa/python-pilosa/blob/master/CONTRIBUTING.md)\n\n## License\n\nSee: [LICENSE](https://github.com/pilosa/python-pilosa/blob/master/LICENSE)\n\n\n",
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