Update description for wheel package

README.md

@@ -12,6 +12,24 @@ Prebuilt `mkl_random` can be installed into conda environment from Intel's chann
   conda install -c intel mkl_random
 ```
 
+---
+
+To install mkl_random Pypi package please use following command:
+
+```
+   python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi.org/simple mkl_random
+```
+
+If command above installs NumPy package from the Pypi, please use following command to install Intel optimized NumPy wheel package from Anaconda Cloud:
+
+```
+   python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi.org/simple mkl_random numpy==<numpy_version>
+```
+
+Where `<numpy_version>` should be the latest version from https://anaconda.org/intel/numpy
+
+---
+
 `mkl_random` is not fixed-seed backward compatible drop-in replacement for `numpy.random`, meaning that it implements sampling from the same distributions as `numpy.random`.
 
 For distributions directly supported in Intel (R) Math Kernel Library (MKL), `method` keyword is supported:

conda-recipe/meta.yaml

@@ -1,4 +1,4 @@
-{% set version = "1.2.0" %}
+{% set version = "1.2.2" %}
 {% set buildnumber = 0 %}
 
 ### If you change the iccver here, you must also set the path correctly in build.sh / bld.bat!!!

setup.py

@@ -34,6 +34,9 @@
 with io.open('mkl_random/_version.py', 'rt', encoding='utf8') as f:
     version = re.search(r'__version__ = \'(.*?)\'', f.read()).group(1)
 
+with open("README.md", "r", encoding="utf-8") as file:
+    long_description = file.read()
+
 VERSION = version
 
 CLASSIFIERS = ""
@@ -67,8 +70,9 @@ def setup_package():
         name = 'mkl_random',
         maintainer = "Intel Corp.",
         maintainer_email = "[email protected]",
-        description = "",
-        long_description = """""",
+        description = "NumPy-based Python interface to Intel (R) MKL Random Number Generation functionality",
+        long_description = long_description,
+        long_description_content_type="text/markdown",
         url = "http://github.com/IntelPython/mkl_random",
         author = "Intel Corporation",
         download_url = "http://github.com/IntelPython/mkl_random",