Text Analytics and Visualization

For this post, I want to describe a text analytics and visualization technique using a basic keyword extraction mechanism using nothing but a word counter to find the top 3 keywords from a corpus of articles that I’ve created from my blog at http://ericbrown.com.  To create this corpus, I downloaded all of my blog posts […]

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Stock market forecasting with prophet

In a previous post, I used stock market data to show how prophet detects changepoints in a signal (http://pythondata.com/forecasting-time-series-data-prophet-trend-changepoints/). After publishing that article, I’ve received a few questions asking how well (or poorly) prophet can forecast the stock market so I wanted to provide a quick write-up to look at stock market forecasting with prophet. This […]

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Jupyter with Vagrant

I’ve written about using vagrant for 99.9% of my python work on here before (see here and here for examples).   In addition to vagrant, I use jupyter notebooks on 99.9% of the work that I do, so I figured I’d spend a little time describing how I use jupyter with vagrant. First off, you’ll […]

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Vagrant on Windows

There are many different ways to install python and work with python on Windows. You can install Canopy or Anaconda to have an entire python ecosystem self-contained or you can install python directly onto your machine and configure all the bits and bytes yourself. My current recommendation is to use Vagrant on Windows combined with Virtualbox to […]

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