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This is a toy app to demo the functionality and use case for using the PyNode Node.js library to bridge calling Python code from within Node.js code. The demo app is a Express.js Web App that uses PyNode to call Python code that uses SciKit Learn and its California Housing Dataset to make a linear regression model for predicting home prices based off the 1990 US Census data.

Notes on Installing PyNode

As noted in the official PyNode repo only > Python3.6 is supported and only on Mac and Linux.

The approach I took to installing PyNode is as follows:

  1. create and activate Python 3.6 virtual environment
python3 -m venv venv
source venv/bin/activate
  1. sym link python3-config to the virtual environment as "python-config"
ln -s /usr/local/bin/python3.6-config venv/bin/python-config
  1. npm install PyNode (be sure to have the Python virtual environment still active), also worth noting is that I was using Node v8.10
(venv) npm install @fridgerator/pynode --save
> @fridgerator/pynode@0.2.7 install /Users/adammcquistan/Code/javascript/pynode/node_modules/@fridgerator/pynode
> node-gyp rebuild

  CXX(target) Release/
  CXX(target) Release/
  SOLINK_MODULE(target) Release/PyNode.node
npm WARN node2py@1.0.0 No description
npm WARN node2py@1.0.0 No repository field.

+ @fridgerator/pynode@0.2.7
updated 1 package in 4.042s

Running the Demo App

  1. Install PyNode as described in the above section

  2. Install Python dependencies (with Python virtual environment activated)

(venv) pip install -r requirements.txt
  1. Install Node.js dependencies
(venv) npm install 
  1. Run Node.js / Express.js app
(venv) node server.js # or nodemon


Demo Application Code for The Coding Interface blog post



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