Create README.md

Author: pawxnsingh

README.md

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+# Polyglot Data Analysis and Visualization API using METACALL
+
+In this example we show how to use Numpy and Matplotlib (Python) from an WebSocket server (NodeJS) in order to build a **Polyglot Data Analysis and Visualization API**.
+
+## Install
+
+Clone the repository:
+
+```sh
+git clone https://github.com/pawxnsingh/numpy-matplotlib-websocket-node-example
+```
+
+Install MetaCall CLI:
+
+```sh
+curl -sL https://raw.githubusercontent.com/metacall/install/master/install.sh | sh
+```
+
+Navigate to the directory:
+
+```sh
+cd numpy-matplotlib-websocket-node-example
+```
+
+Install application dependencies:
+
+```sh
+metacall pip3 install -r requirements.txt 
+metacall npm install
+```
+
+## Run the Application
+
+```sh
+metacall index.js
+```
+
+For testing it, in another terminal, let's visualize this data calculating the mean, median, standard deviation of this array 
+[10, 12, 14, 15, 10, 11, 150] (you can change the values and size for experimenting)
+
+```sh
+use postman/hoppscotch(web)
+
+URL: ws://localhost:8080
+Message: {"numbers": [10, 12, 14, 15, 10, 11, 150]}
+```
+
+It should output something like:
+
+```
+output: look for the output folder for the visualized view
+```
+
+## Docker
+
+An alternative version with Docker and automated testing is provided.
+
+```sh
+docker build -t metacall/numpy-matplotlib-websocket-node-example .
+docker run --rm -v $(pwd)/output:/metacall/output -p 8080:8080 -it metacall/numpy-matplotlib-websocket-node-example
+```
+