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Make sure Python 3 is installed, then install Jupyter Lab:
$ pip3 install jupyter $ pip3 install jupyterlab
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Make sure you have installed the older Node.js < v9 (I'm using v8.11.3 with npm v5.6.0), then install IJavaScript:
$ npm install -g ijavascript $ ijsinstall
If you use the latest version of Node.js, you can install the older version too using npm:
$ npm install -g node@8.11.3 $ npm install -g npm@5.6.0
So now you have 2 versions of Node.js, I guess. To manage its version, you can use nvm (Node Version Manager). For Windows, you can use nvm-windows.
$ node -v v10.14.2 $ nvm list 8.11.3 * 10.14.2 $ nvm use 8.11.3 Now using node v8.11.3 (64-bit) $ node -v v8.11.3
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Launch Jupyter Lab
$ jupyter lab
It will run at http://localhost:8888/lab, and now you can use JavaScript (Node.js) kernel on Jupyter Notebook. You can use dstools package to do some data analytics like pandas does with Python.
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Do some data analytics with dstools, install it from npm:
$ npm i dstools
Create dummy csv data then load it on Jupyter Lab:
const dstools = require('dstools') const Collection = dstools.Collection; const data = Collection().loadCSV('data.csv') data.show() data.head(2).show()
Enjoy ~ 😎
Lintang Wisesa 💌 lintangwisesa@ymail.com
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