Scientist Meets Web Dev - How Python Became the Language of Data

Scientist Meets Web Dev - How Python Became the Language of Data

EuroPython Conference via YouTube Direct link

Intro

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1 of 18

Intro

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Scientist Meets Web Dev - How Python Became the Language of Data

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  1. 1 Intro
  2. 2 Data science with Python is hot
  3. 3 We're different
  4. 4 Let's do something together: sort EuroPython site EuroPyton abstracts
  5. 5 Why we love numpy 100 000 term frequency vs inverse doc frequency
  6. 6 arrays are nothing but pointers A numpy array
  7. 7 Array computing is fast
  8. 8 Array computing is limited by CPU starvation
  9. 9 Numerics versus control flow What if there is an if
  10. 10 numerics vs databases
  11. 11 Operations on chunks Machine learning, data mining = numerics
  12. 12 Operations on chunks, or algorithms on chunks Machine learning, data mining = numerics
  13. 13 Making the data-science magic happens
  14. 14 Data/computation flow is crucial
  15. 15 Ingredients for future data flows
  16. 16 The Python VM is great
  17. 17 Scikit-learn is easy machine learning As easy as py
  18. 18 Difference is richness, but requires outreach

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