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67 lines
1.9 KiB
ReStructuredText
67 lines
1.9 KiB
ReStructuredText
.. eland documentation master file, created by
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.. module:: eland
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****************************************************************
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eland: pandas-like data analysis toolkit backed by Elasticsearch
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****************************************************************
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**Date**: |today| **Version**: |version|
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**Useful links**:
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`Source Repository <https://github.com/elastic/eland>`__ |
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`Issues & Ideas <https://github.com/elastic/eland/issues>`__ |
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`Q&A Support <https://discuss.elastic.co>`__ |
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:mod:`eland` is an open source, Apache2-licensed elasticsearch Python client to analyse, explore and manipulate data that resides in elasticsearch.
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Where possible the package uses existing Python APIs and data structures to make it easy to switch between Numpy, Pandas, Scikit-learn to their elasticsearch powered equivalents.
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In general, the data resides in elasticsearch and not in memory, which allows eland to access large datasets stored in elasticsearch.
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Installing Eland
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~~~~~~~~~~~~~~~~
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Eland can be installed from `PyPI <https://pypi.org/project/eland>`_ via pip:
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.. code-block:: bash
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$ python -m pip install eland
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Eland can also be installed from `Conda Forge <https://anaconda.org/conda-forge/eland>`_ with Conda:
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.. code-block:: bash
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$ conda install -c conda-forge eland
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.. toctree::
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:maxdepth: 2
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:hidden:
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reference/index
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implementation/index
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development/index
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examples/index
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* :doc:`reference/index`
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* :doc:`reference/io`
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* :doc:`reference/general_utility_functions`
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* :doc:`reference/dataframe`
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* :doc:`reference/series`
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* :doc:`reference/indexing`
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* :doc:`reference/ml`
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* :doc:`implementation/index`
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* :doc:`implementation/details`
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* :doc:`implementation/dataframe_supported`
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* :doc:`development/index`
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* :doc:`development/contributing`
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* :doc:`examples/index`
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* :doc:`examples/demo_notebook`
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* :doc:`examples/online_retail_analysis`
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