allign content

README.md

@@ -6,6 +6,31 @@ powered version of loops used in the patched version of [NumPy](https://numpy.or
 
 Patches were factored out per community feedback ([NEP-36](https://numpy.org/neps/nep-0036-fair-play.html)).
 
+`mkl_umath` started as a part of Intel (R) Distribution for Python* optimizations to NumPy, and is now being released 
+as a stand-alone package. It can be installed into conda environment using 
+
+```
+   conda install -c intel mkl_umath
+```
+
+---
+
+To install mkl_umath 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_umath
+```
+
+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_umath numpy==<numpy_version>
+```
+
+Where `<numpy_version>` should be the latest version from https://anaconda.org/intel/numpy
+
+---
+
 ## Building
 
 Intel(R) C compiler and Intel(R) Math Kernel Library are required to build `mkl_umath` from source:

setup.py

@@ -30,10 +30,13 @@
 with io.open('mkl_umath/_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 = """\
-Development Status :: 0 - Alpha
+Development Status :: 5 - Production/Stable
 Intended Audience :: Science/Research
 Intended Audience :: Developers
 License :: OSI Approved
@@ -75,7 +78,8 @@ def setup_package():
         maintainer = "Intel Corp.",
         maintainer_email = "[email protected]",
         description = "MKL-based universal functions for NumPy arrays",
-        long_description = """Universal functions for real and complex floating point arrays powered by Intel(R) Math Kernel Library Vector (Intel(R) MKL) and Intel(R) Short Vector Math Library (Intel(R) SVML)""",
+        long_description = long_description,
+        long_description_content_type="text/markdown",
         url = "http://github.com/IntelPython/mkl_umath",
         author = "Intel Corporation",
         download_url = "http://github.com/IntelPython/mkl_umath",