orenitamar

# Below are the dependencies required for installing the common combination of numpy, scipy, pandas and matplotlib 
# in an Alpine based Docker image.
FROM alpine:3.4
RUN echo "http://dl-8.alpinelinux.org/alpine/edge/community" >> /etc/apk/repositories
RUN apk --no-cache --update-cache add gcc gfortran python python-dev py-pip build-base wget freetype-dev libpng-dev openblas-dev
RUN ln -s /usr/include/locale.h /usr/include/xlocale.h
RUN pip install numpy scipy pandas matplotlib

monicao

It's time to deploy your app! H0Lee S#!T...
-- Khurram Virani, 2014

Introduction

Localhost is great and all, but at some point you might want to deploy other app to the wild (the internets) for others to be able to use it.

When an app is live, it’s often referred to as the "production" instance/server of your app. Your your local server (on localhost) which only you can use is referred to the "development" instance.

There are many options on how and where to deploy your web app. The simplest approach is to use a Platform as a Service (PaaS). A PaaS abstracts away many of the complexities associated with setting up, configuring and deploying to a machine in the cloud. Heroku is the most popular platform of this kind.

mathisonian

The final result: require() any module on npm in your browser console with browserify

This article is written to explain how the above gif works in the chrome (and other) browser consoles. A quick disclaimer: this whole thing is a huge hack, it shouldn't be used for anything seriously, and there are probably much better ways of accomplishing the same.

Update: There are much better ways of accomplishing the same, and the script has been updated to use a much simpler method pulling directly from browserify-cdn. See this thread for details: mathisonian/requirify#5

inspiration