Nov 9: Winter Bootcamp Early Application Deadline. Apply Now

In-Class Speaker Series: iPython & pymetrics

By Emily Wilson • October 22, 2015

'The industry has really woken up to the value of data,' said Brian Granger, core developer of the iPython project and Associate Professor of Physics at Cal Poly State University, San Luis Obispo. He spoke to the Metis cohort last week, and though he was scheduled for one hour, the conversation extended well beyond 60 minutes as the students asked question after question about his influential open source work.

He has a team of full-time developers working with him on the iPython Notebook, 'an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media.'

Granger went into detail about the Notebook's development, evolution, and functionality, and also spoke on a broader scale about the data science field and its rapid growth. Traditionally, innovations and developments in the data science field have originated as student projects within academia. As the wider business community begins to realize the potential power of data, academia and industry are mixing in interesting but often 'challenging ways,' according to Granger.

One important way to tackle the present challenges is to focus on narratives within data -- something the Notebook does well. Successful data scientists need to be able to create and tell moving, relatable stories from within the data.

"The big idea that makes the [iPython] notebook important isn't just about the code and data, it's also about the narrative around that," he said.

Narrative is also important to career search platform pymetrics. It helps users tell their career stories through a combination of big data, neuroscience, and machine learning, recommending career paths to job seekers and helping companies hire more effectively.

Alena Chiang, pymetric's Head of User Acquisition, also spoke with the Metis cohort last week about the platform, saying that finding a job doesn't have to be the "painful process" it often is.

Founded by two neuroscientists, pymetrics assesses cognitive and personality traits through a series of online games. Anyone can sign on, make a profile, and play the games, which analyze 50+ cognitive-emotional traits in a short period of time. Data science is then used to profile each user and the platform helps match users and companies.

Chiang highlighted the important role that data and data scientists play in making pymetrics a successful tool for all involved.

This week, we've had two speakers already and have one more planned for this evening, as our in-class speaker series continues:

Dean Malmgren, Co-founder, Datascope Analytics



Lambert Hogenhout, Chief Data Scientist, The United Nations



Brad Groff, Senior Manager, Data Science Capital One labs


Similar Posts

community
Weekly Roundup: Data Science Meetups (NYC & SF)

By Emily Wilson • August 08, 2016

Both New York City and San Francisco are treasure troves for data science Meetups during any given week. We try to attend as many as we can. Check out this list of events we're especially interested in this week.

community
Hiring? Data Science Career Day 6/23 in NYC & 6/30 in SF

By Metis • June 21, 2016

Glassdoor recently named Data Scientist the top job of 2016. "They're in high demand but require such a high quantity of specialized knowledge that good ones are a rare breed," Tech.Co wrote in an article about the report .

community
Metis Held Three Data Science Events in Two Cities in One Night

By Emily Wilson • December 07, 2015

Last week, when we hosted three events in one night in two cities (NYC and SF). Read about them here.