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Add Conda Forge installation instructions
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README.md
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README.md
@ -7,12 +7,21 @@ _Note, this project is still very much a work in progress and in an alpha state;
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</p>
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<table>
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<tr>
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<td>Latest Release</td>
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<td>PyPI</td>
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<td>
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<a href="https://pypi.org/project/eland/">
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<img src="https://img.shields.io/pypi/v/eland.svg" alt="latest release" />
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<img src="https://img.shields.io/pypi/v/eland.svg" alt="latest release"/>
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</a>
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</td>
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</tr>
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<tr>
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<td>Conda Forge</td>
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<td>
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<a href="https://anaconda.org/conda-forge/eland">
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<img src="https://img.shields.io/conda/vn/conda-forge/eland" alt="latest release"/>
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</a>
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</td>
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</tr>
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<tr>
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<td>Package Status</td>
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<td>
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@ -161,16 +170,21 @@ Operations:
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See [docs](https://eland.readthedocs.io/en/latest) and [demo_notebook.ipynb](https://eland.readthedocs.io/en/latest/examples/demo_notebook.html) for more examples.
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## Where to get it
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The source code is currently hosted on GitHub at:
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https://github.com/elastic/eland
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Binary installers for the latest released version are available at the [Python
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package index](https://pypi.org/project/eland).
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Eland can be installed from [PyPI](https://pypi.org/project/eland) via pip:
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```sh
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python -m pip install eland
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```bash
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$ python -m pip install eland
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```
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Eland can also be installed from [Conda Forge](https://anaconda.org/conda-forge/eland) with Conda:
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```bash
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$ conda install -c conda-forge eland
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```
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The [source code](https://github.com/elastic/eland) is currently available on GitHub.
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## Versions and Compatibility
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### Python Version Support
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@ -104,6 +104,11 @@ exclude_patterns = ["**.ipynb_checkpoints"]
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# a list of builtin themes.
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html_theme = "pydata_sphinx_theme"
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html_theme_options = {
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"external_links": [],
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"github_url": "https://github.com/elastic/eland",
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"twitter_url": "https://twitter.com/elastic",
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}
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# Add any paths that contain custom static files (such as style sheets) here,
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# relative to this directory. They are copied after the builtin static files,
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@ -17,6 +17,20 @@ eland: pandas-like data analysis toolkit backed by 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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