7.5.1a2 (#110)

* Updating README.md

* New version

* Fixing description for pypi

README.md

@@ -21,7 +21,7 @@ _Note, this project is still very much a work in progress and in an alpha state;
 <tr>
   <td>License</td>
   <td>
-    <a href="https://github.com/elastic/eland/LICENSE.txt">
+    <a href="https://github.com/elastic/eland/blob/master/LICENSE.txt">
     <img src="https://img.shields.io/pypi/l/eland.svg" alt="license" />
     </a>
 </td>

eland/_version.py

@@ -15,6 +15,6 @@
 __title__ = 'eland'
 __description__ = 'Python elasticsearch client to analyse, explore and manipulate data that resides in elasticsearch.'
 __url__ = 'https://github.com/elastic/eland'
-__version__ = '7.5.1a1'
+__version__ = '7.5.1a2'
 __maintainer__ = 'Elasticsearch B.V.'
 __maintainer_email__ = 'steve.dodson@elastic.co'

setup.py

@@ -17,32 +17,88 @@ from os import path
 
 from setuptools import setup
 
-here = path.abspath(path.dirname(__file__))
-
-with open(path.join(here, 'README.md'), encoding='utf-8') as f:
-    long_description = f.read()
-
 here = path.abspath(path.dirname(__file__))
 about = {}
 with open(path.join(here, 'eland', '_version.py'), 'r', 'utf-8') as f:
     exec(f.read(), about)
 
+CLASSIFIERS = [
+    "Development Status :: 3 - Alpha",
+    "License :: OSI Approved :: Apache Software License",
+    "Environment :: Console",
+    "Operating System :: OS Independent",
+    "Intended Audience :: Science/Research",
+    "Programming Language :: Python",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.5",
+    "Programming Language :: Python :: 3.6",
+    "Programming Language :: Python :: 3.7",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Cython",
+    "Topic :: Scientific/Engineering",
+]
+
+LONG_DESCRIPTION="""
+# What is it?
+
+eland is a Elasticsearch client Python package to analyse, explore and manipulate data that resides in Elasticsearch. 
+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. In general, the data resides in Elasticsearch and 
+not in memory, which allows eland to access large datasets stored in Elasticsearch.
+
+For example, to explore data in a large Elasticsearch index, simply create an eland DataFrame from an Elasticsearch 
+index pattern, and explore using an API that mirrors a subset of the pandas.DataFrame API: 
+
+```
+>>> import eland as ed
+
+>>> df = ed.read_es('http://localhost:9200', 'reviews') 
+
+>>> df.head()
+   reviewerId  vendorId  rating              date
+0           0         0       5  2006-04-07 17:08
+1           1         1       5  2006-05-04 12:16
+2           2         2       4  2006-04-21 12:26
+3           3         3       5  2006-04-18 15:48
+4           3         4       5  2006-04-18 15:49
+
+>>> df.describe()
+          reviewerId       vendorId         rating
+count  578805.000000  578805.000000  578805.000000
+mean   174124.098437      60.645267       4.679671
+std    116951.972209      54.488053       0.800891
+min         0.000000       0.000000       0.000000
+25%     70043.000000      20.000000       5.000000
+50%    161052.000000      44.000000       5.000000
+75%    272697.000000      83.000000       5.000000
+max    400140.000000     246.000000       5.000000
+```
+
+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.
+
+## Where to get it
+The source code is currently hosted on GitHub at:
+https://github.com/elastic/eland
+
+Binary installers for the latest released version are available at the [Python
+package index](https://pypi.org/project/eland).
+
+```sh
+pip install eland
+```
+"""
+
 setup(
     name=about['__title__'],
     version=about['__version__'],
     description=about['__description__'],
-    long_description=long_description,
+    long_description=LONG_DESCRIPTION,
     long_description_content_type='text/markdown',
     url=about['__url__'],
     maintainer=about['__maintainer__'],
     maintainer_email=about['__maintainer_email__'],
     license='Apache 2.0',
-    classifiers=[
-        'Development Status :: 3 - Alpha',
-        'Intended Audience :: Developers',
-        'License :: OSI Approved :: Apache Software License',
-        'Programming Language :: Python :: 3.7',
-    ],
+    classifiers=CLASSIFIERS,
     keywords='elastic eland pandas python',
     packages=['eland'],
     install_requires=[