Added pip install documentation

docs/install_guides/installing-openvino-pip.md

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+# Install Intel® Distribution of OpenVINO™ Toolkit from PyPI Repository {#openvino_docs_install_guides_installing_openvino_pip}
+
+This guide provides installation steps for the Intel® distribution of OpenVINO™ toolkit distributed through the PyPI repository.
+
+## System Requirements
+
+* [Python* distribution](https://www.python.org/) 3.6 or 3.7
+* Operating Systems:
+  - Ubuntu* 18.04 long-term support (LTS), 64-bit
+  - macOS* 10.15.x versions
+  - Windows 10*, 64-bit Pro, Enterprise or Education (1607 Anniversary Update, Build 14393 or higher) editions
+  - Windows Server* 2016 or higher
+
+## Install the Runtime Package Using the PyPI Repository
+
+1. Set up and update pip to the highest version:
+   ```sh
+   python3 -m pip install --upgrade pip
+   ```
+2. Install the Intel® distribution of OpenVINO™ toolkit:
+   ```sh
+   pip install openvino-python
+   ```
+
+3. Add PATH to environment variables.
+ - Ubuntu* 18.04 and macOS*:
+   ```sh
+   export LD_LIBRARY_PATH=<python_dir>/lib:${LD_LIBRARY_PATH}
+   ```
+ - Windows* 10:
+    ```sh
+   set PATH=<python_dir>/Library/bin;%PATH%
+   ```
+4. Verify that the package is installed:
+   ```sh
+   python3 -c "import openvino"
+   ```
+
+Now you are ready to develop and run your application.
+
+
+## Additional Resources
+
+- [Intel® Distribution of OpenVINO™ toolkit](https://software.intel.com/en-us/openvino-toolkit).
+- [OpenVINO™ toolkit online documentation](https://docs.openvinotoolkit.org).
+- [Model Optimizer Developer Guide](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md).
+- [Inference Engine Developer Guide](../IE_DG/Deep_Learning_Inference_Engine_DevGuide.md).
+- For more information on Sample Applications, see the [Inference Engine Samples Overview](../IE_DG/Samples_Overview.md).
+- For information on Inference Engine Tutorials, see the [Inference Tutorials](https://github.com/intel-iot-devkit/inference-tutorials-generic).
+- [Intel® Distribution of OpenVINO™ toolkit PIP home page](https://pypi.org/project/openvino-python/)
+