Category: python

How to make beautiful data visualizations in Python with matplotlib

Want to learn more about data visualization with Python? Take a look at my Data Visualization Basics with Python video course on O’Reilly. It’s been well over a year since I wrote my last tutorial, so I figure I’m overdue.

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Sagemath Cloud makes collaborating with IPython Notebooks easier than ever

Earlier this year, Sagemath Cloud went into open beta so anyone can play around with it. If you’re not familiar with the service, it’s a free cloud-based web service that provides access to personal directories, a terminal, IPython Notebook (incl.

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Fun with the Python Reddit API Wrapper and word clouds

I got bored today and threw together some Python code to scrape word frequencies from Reddit and make word clouds. Everyone on Reddit seemed to love them, so I put them up on github so everyone could start making their

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Filling in Python’s gaps in statistics packages with Rmagic

Have you ever found yourself searching for a statistics package in Python, but it just isn’t available? This is the biggest reason I’ve heard when my colleagues say they’re unwilling to make the switch from R to Python for statistical

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Statistical analysis made easy in Python with SciPy and pandas DataFrames

I finally got around to finishing up this tutorial on how to use pandas DataFrames and SciPy together to handle any and all of your statistical needs in Python. This is basically an amalgamation of my two previous blog posts

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Using pandas DataFrames to process data from multiple replicate runs in Python

Per a recommendation in my previous blog post, I decided to follow up and write a short how-to on how to use pandas to process data from multiple replicate runs in Python. If you do research like mine, you’ll often

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