Travis Oliphant

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Brief Introduction

• Date of recording – Apr 28th 2015
• Hosts – Tobias Macey and Chris Patti
• Overview – Interview with Travis Oliphant

Interview with Travis Oliphant

• Introductions
• How did you get introduced to Python?
• I’m curious what inspired you to create NumPy and SciPy?
• Why did you choose Python for those libraries?
  • Numeric, Jim Hugunin
  • Morphology library in NumArray



• For those of us who aren’t in the know, can you provide a brief definition of what data science is and how you got involved in it?
  • Term coined by DJ Patil
  • Answer: Anybody who takes data and tries to derive insights from it
  • Nobody really knows what this means



• Can you tell us the story of how Continuum Analytics came to be?


• What are some interesting projects that you have worked on with Continuum Analytics?
  • Bokeh
  • Wakari
  • Anaconda
  • Numba
  • Blaze



• Can you explain a bit about what NumFocus is and how it got started?


• How can our audience get involved with NumFocus?


• For someone just starting out in the data science and data analytics space, what advice would you give?
  • Download Anaconda, learn as much Python as you can
  • Google search “Data Analysis in Python”
  • iPython Notebooks in data analysis
  • R community
  • Meetups
  • Online classes
  • R Community can be helpful



• Of your myriad achievements, what are you most proud of?

Picks

• Tobias
  • Used bookstores
    • The Book Barn

  
  
  • Cloudy with a Chance of Meatballs
  
  
  • Kickin’ it Old School
  
  
  
  


• Chris
  • Kids In The Hall
  • MFA Boston Art in Bloom
  • CodeNewbies
  • Apple 27″ Retina iMac 5K



• Travis Oliphant
  • Data Carpentry
    • Tracy Teal (@tracykteal)
    • Patterned on Software Carpentry

  
  
  • Brain Science Podcast – Ginger Campbell, MD
  
  
  • Money, Bank Credit and Economic Cycles
  
  
  
  


• Travis Contacts
  • Twitter:
    • Travis – @teoliphant
    • NumFocus – @numfocus
    • Continuum Analytics – @ContinuumIO

  
  
  
  

The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA