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  • The Hipster Effect: An IPython Interactive Exploration

    This week I started seeing references all over the internet to this paper: The Hipster Effect: When Anticonformists All Look The Same. It essentially describes a simple mathematical model which models conformity and non-conformity among a mutually interacting population, and finds some interesting…

    Python Data Science Handbook by Jake VanderPlas Blog10 min read
  • How Bad Is Your Colormap?

    (Or, Why People Hate Jet – and You Should Too) I made a little code snippet that I find helpful, and you might too: """Return a grayscale version of the colormap""" cmap = plt.cm.get_cmap(cmap) colors = cmap(np.arange(cmap.N)) # convert RGBA to perceived greyscale luminance # cf.

    Python Data Science Handbook by Jake VanderPlas Blog5 min read
  • On Frequentism and Fried Chicken

    My recent series of posts on Frequentism and Bayesianism have drawn a lot of comments, but recently Frederick J. Ross, a UW colleague whom I have not yet had the pleasure of meeting, penned a particularly strong-worded critique: Bayesian vs frequentist: squabbling among the ignorant.

    Python Data Science Handbook by Jake VanderPlas Blog6 min read
  • Hacking Academia: Data Science and the University

    A reflection on our SciFoo breakout session, where we discussed issues of data science within academia. Almost a year ago, I wrote a post I called the Big Data Brain Drain, lamenting the ways that academia is neglecting the skills of modern data-intensive research, and in doing so is driving away…

    Python Data Science Handbook by Jake VanderPlas Blog17 min read
  • Frequentism and Bayesianism IV: How to be a Bayesian in Python

    I've been spending a lot of time recently writing about frequentism and Bayesianism. In Frequentism and Bayesianism I: a Practical Introduction I gave an introduction to the main philosophical differences between frequentism and Bayesianism, and showed that for many common problems the two methods…

    Python Data Science Handbook by Jake VanderPlas Blog18 min read
  • Is Seattle Really Seeing an Uptick In Cycling?

    Cycling in Seattle seems to be taking off. This can be seen qualitatively in the increased visibility of advocacy groups like Seattle Neighborhood Greenways and Cascade Bicycle Club, the excellent reporting of sites like the Seattle Bike Blog, and the investment by the city in high-profile traffic…

    Python Data Science Handbook by Jake VanderPlas Blog17 min read
  • Frequentism and Bayesianism II: When Results Differ

    In a previous post I gave a brief practical introduction to frequentism and Bayesianism as they relate to the analysis of scientific data. In it, I discussed the fundamental philosophical difference between frequentism and Bayesianism, and showed several simple problems where the two approaches…

    Python Data Science Handbook by Jake VanderPlas Blog23 min read
  • Why Python is Slow: Looking Under the Hood

    /*! * * IPython notebook * */ /* CSS font colors for translated ANSI colors. */ .ansibold { font-weight: bold; } /* use dark versions for foreground, to improve visibility */ .ansiblack { color: black; } .ansired { color: darkred; } .ansigreen { color: darkgreen; } .ansiyellow { color: #c4a000; }…

    Python Data Science Handbook by Jake VanderPlas Blog17 min read
  • An Introduction to the Python Buffer Protocol

    This is a bit of a niche topic, but I figured there might be one or two people out there who would find this useful (including my future self)... today I managed to implement a simple Python object which exposes the buffer protocol.

    Python Data Science Handbook by Jake VanderPlas Blog16 min read
  • Frequentism and Bayesianism: A Practical Introduction

    One of the first things a scientist hears about statistics is that there is are two different approaches: frequentism and Bayesianism. Despite their importance, many scientific researchers never have opportunity to learn the distinctions between them and the different practical approaches that…

    Python Data Science Handbook by Jake VanderPlas Blog19 min read
  • D3 Plugins: Truly Interactive Matplotlib In Your Browser

    It's been a few weeks since I introduced mpld3, a toolkit for visualizing matplotlib graphics in-browser via d3, and a lot of progress has been made. I've added a lot of features, and there have also been dozens of pull requests from other users which have made the package much more complete.

    Python Data Science Handbook by Jake VanderPlas Blog9 min read

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