#7: Fernando Perez — Creating IPython, Founding NumFOCUS, & The Stories Behind It All

Fernando Perez is best-known as the creator of IPython and co-founder of Project Jupyter : a set of open-source data science tools that some may consider to be the equivalent of the bat & ball to the sport of baseball. Today, you really can't play the game of data science without Jupyter Notebooks and our guest today is one of Jupyter's leads and originators (see here for the rest of the amazing team). Fernando is also an Assistant Professor in Statistics at UC Berekely , Researcher at the Berekely Institute for Data Science , and Founding Board Member of the NumFOCUS foundation — the community that creates the SciPy stack , along with virtually every other notable open source data science tool out there. This conversation was recorded in-person with Fernando in his office on UC Berekely's campus, and it turned out to be the most humanizing, energizing, and down-to-earth interview I've had so far. Some of the many topics we covered include: what Fernando wanted to be while growing up in Medellin (Me-de-jean), Colombia the function that formal education played in his learning of data science the story behind IPython and Project Jupyter and it's evolution over the past 10 years lessons learned about technical competence and human character from his mentors over the years what a "computational narrative" means to him and why it's principles are key to data storytelling Fernando's experience teaching a 650-student course (part of a pair of courses that are the largest of it's kind) as part of the Berekely Institute of Data Science Enjoy the show! Show Notes: Fernando's Twitter: AJ's Twitter:

You can listen to #7: Fernando Perez — Creating IPython, Founding NumFOCUS, & The Stories Behind It All online on Radio and Podcast. Open the player on this page to stream the available audio.

#7: Fernando Perez — Creating IPython, Founding NumFOCUS, & The Stories Behind It All is an episode from Data Journeys by AJ Goldstein.

This episode is 52:22 long.

This episode was published on May 7, 2018.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from Data Journeys when more episodes are available from the podcast feed.