Data?, Data!, Data...

• Why Airbnb Has a Data Scientist on Every Leadership Team

  • Airbnb에서 Data Scientist의 역할을 알 수 있고, 역량에 대해서 생각해 볼 수 있음
  • 고객은 데이터를 사용하는 방법에 따라서 달라짐

  "That customer will choose the service that's best suited for them, which depends upon the way the competing companies use their data."

  • 공부를 위한 공부나 기술을 위한 기술보다는 데이터를 어떻게 '창의적'으로 다룰 수 있는지가 중요

  "Recruiting from a wide range of backgrounds has enabled us to scale our team with the company, and the breadth of backgrounds brings a breadth of perspectives, which enhances our creativity."

  • 수학 한 스푼, 파이썬 두 스푼, 창의력 많이, 커뮤니케이션 '어이쿠 쏟아버렸네?'

  "I think there's a misperception that you have to have a PhD in math or statistics to be a data scientist. That level of technicality is certainly useful, but I think you can go a long way if you understand three things: how data is collected, stored and retrieved; how to manipulate data using analytical tools like R and Python; and how to tease apart correlation and causation. Beyond those basic skills, the divide between good and great data scientists is most visible in their soft skills: communication, creativity, and curiosity. If you have these soft skills and are open to continually learning the technical skills, you'll be able to evolve with the industry."

Python with PY Family

• Python Virtual Environments - a Primer

  • virtualenv와 virtualenvwrapper 관련해서 차근차근 따라하면서 배울 수 있음

• Genomic Data Visualization in Python

  • 예제 코드가 잘 작동하기 때문에 훌륭한 튜토리얼임
  • 그러나 환경설정이 잘 안되어서 조금 애를 먹었음

Android with Google Family

• Repository Design Pattern
  • SQLite을 '잘' 사용하는 방법을 아주 쉽게 설명하고 있음
  • 코드가 '분절' 되어있기 때문에 그렇게 쉽진 않음