But while JS, primarily in the shape of the powerhouse D3 visualization library, is delivering the visual goods, it lacks first class (or often any class) tools for gathering, manipulating, mining and analyzing your data, prior to crafting a visualization to show off any gems you discover. That’s where Python comes in. The Python data processing ecosystem has grown at a staggering speed these past few years and whether it’s scraping data from the web or applying cutting edge Machine Learning tools, Python pretty much leads the pack, particularly in terms of ease of use.
Well, thanks to O’Reilly and Fedex, I just got to hold the dead-tree version in my hand, which represents some kind of closure. Writing a book turned out to be just as exhausting as all those blog accounts on the web will tell you, and then some. And whatever the merits of the finished book, it can’t be accused of a lack of ambition.
I think for most of us in the programming community, O’Reilly represents something of a seal of approval and has set a high mark for publishing standards, historically, something akin to our Oxford University Press. My experiences working on the book have been wholly positive and I’ve been blown away by the quality of the people I’ve worked with there, particularly my editors (huge shout out to Meg, Dawn and Kristen!!). I’ve learned so much from that collective team – stuff that, with the usual irony, would have made writing the book so much easier if I’d known it in the first place.
I’ll be writing more in the coming weeks about the book, now there’s something tangible to account for, but in the meantime, if you want to check it out on O’Reilly, you a can find it here at their store or on Amazon.