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DataChats: An Interview with Dhavide Aruliah

February 9th, 2017 in Python

Hi everyone! We've just released a new episode of our DataChats video series (episode 9)

In this episode, we interview Dhavide Aruliah. Dhavide is Director of Training at Continuum Analytics, the creator and driving force behind Anaconda—the leading Open Data Science platform powered by Python. Dhavide was previously an Associate Professor at the University of Ontario Institute of Technology (UOIT). He served as Program Director for various undergraduate & postgraduate programs at UOIT. His research interests include computational inverse problems, numerical linear algebra, & high-performance computing. The materials for this course were produced by the Continuum training team. Together with Hugo, Dhavide goes over the process of designing the pandas Foundation course, his work at Continuum and the Anaconda ecosystem, his path to Python and more.

We hope that you enjoy watching this series and make sure not to miss any of our upcoming episodes by subscribing to DataCamp's YouTube channel!


Dear Dhavid, I took all your three courses about pandas, and I am really enjoyed. But I found that the xlable of the final plot in the course of "Merging DataFrames with pandas" seems not right, e.g., the row of 'change' should be the data of year 2008 Beijing Olympic, however, the city shows 'Atlanta'. It is caused by that we inner merge to obtain 'merge', (and also 'change') delete some null value data, e.g., the data in year 1972, 1980. We actually need to do the same thing to the 'city' to get the correct xlabel.
Ignore me if I am wrong. Hope that this is helpful.

07/07/17 12:28 AM |
Hey Dhavide, your courses are awesome! Really enjoyed them - when is the new combining course going to be released?
02/27/17 2:00 AM |