This week we welcome Jacob Vanderplas (@jakevdp) as our PyDev of the Week! Jacob is the author of Python Data Science Handbook: Essential Tools for Working with Data and works at the University of Washington as a researcher and teacher. As you might have guessed from the title of his book, Jacob is very much in tune with the Scientific programming projects in Python. If you check out his github profile, you will find many interesting highlights on Scikit-learn, for example. Let’s take some time to get to know him better!
Can you tell us a little about yourself (hobbies, education, etc):
I’ve always been drawn to physical activity – I was a swimmer in high school and college, and post-college got into triathlons, culminating with an Ironman a few years back. I’m not as competition-driven these days, but the way I relax is to go out on long hikes, runs, swims, or bike rides. My favorite pastime is to head out on long trail-runs deep into the mountains, though I don’t make it out as much these days with a toddler at home!
I was born and raised in Palo Alto, majored in Physics at Calvin College and did my PhD in Astronomy at University of Washington. In between I lived for a year in Northern Japan, guided mountaineering excursions for two summers in the Sierra Nevada, and taught at a middle school outdoor science program for two years in the redwood forests above Santa Cruz – my experiences during those years and the people with whom I shared my time have had a profound impact on me, and I’m so grateful for the opportunities I’ve had!