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Python 2.7 still reigns supreme in pip installs

The Python 2 vs. Python 3 divide has long been a thorn in the Python community’s side. On one hand, Python package developers face the challenge of supporting two incompatible versions of Python, which is time that could be better

Posted in data visualization, python Tagged with: , ,

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

Posted in ipython, productivity, python, statistics, tutorial Tagged with: , , , , , ,

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

Posted in ipython, productivity, python, statistics, tutorial Tagged with: , , , , , , , , , , , , , , , ,

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

Posted in python, statistics, tutorial Tagged with: , , , , ,

About this blog

This blog is my labor of love, and I've spent hundreds of hours working on the projects that you'll read about here. Generally, I write about data visualization and machine learning, and sometimes explore out-of-the-box projects at the intersection of the two. I hope you enjoy my projects as much as I have.

If you would like to use one of my graphs on your website or in a publication, please feel free to do so with appropriate attribution, but I would appreciate it if you email me first to let me know.

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