aviemzur commented on a change in pull request #8:
URL: https://github.com/apache/incubator-liminal/pull/8#discussion_r525124363



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File path: docs/source/getting_started_with_liminal.md
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+
+
+# Getting Started with Apache Liminal
+
+Liminal is a MachineLearning orchestration platform, or in other words: 
Liminal enables data scientists and data engineers to define their entire ML 
system and flow using configuration. From feature engineering to production 
monitoring - and the framework takes care of the infra behind the scenes and 
seamlessly integrates with the infrastructure behind the scenes.
+
+
+
+## Quick Start
+
+So, you’ve heard about liminal and decided you want to give it a try.
+
+This guide will allow you to set up your first apache Liminal environment and 
allow you to create some simple ML pipelines. These will be very similar to the 
ones you are going to build for real production scenarios. This is actually the 
magic behind Liminal.
+
+
+
+## Prerequisites
+
+Python 3 (3.6 and up)
+
+[Docker Desktop](https://www.docker.com/products/docker-desktop)
+
+*Note: make sure your kubernetes cluster is running*
+
+### Apache Liminal Hello World
+
+In this tutorial, we will go through setting up Liminal for the first time on 
your local dev machine.
+
+I’m running this on my macBook, so this will cover mac related installation 
aspects and kinks (if there are any).
+
+First, let’s build our examples project:
+
+In the dev folder, just clone the example code from liminal:
+
+
+```
+git clone https://github.com/apache/incubator-liminal
+```
+***Note:*** *You just cloned the entire Liminal Project, you actually need 
just the examples folder.*
+
+Create a python virtualenv to isolate your runs, like this:
+
+
+```
+cd incubator-liminal/examples/liminal-getting-started
+python3 -m venv env
+```
+
+
+And activate your virtual environment:
+
+
+```
+source ../env/bin/activate
+```
+
+Now we are ready to install liminal:
+
+
+```
+pip uninstall apache-liminal 

Review comment:
       remove uninstall command from here




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