Docker and Python - Making Them Play Nicely and Securely for Data Science and ML

Docker and Python - Making Them Play Nicely and Securely for Data Science and ML

EuroPython Conference via YouTube Direct link

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13 of 15

13 of 15

summary

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Docker and Python - Making Them Play Nicely and Securely for Data Science and ML

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  1. 1 Introduction
  2. 2 Why use Docker
  3. 3 Docker vs more apps
  4. 4 Build from scratch
  5. 5 Know what youre pulling
  6. 6 docker ignore
  7. 7 nonroot user
  8. 8 sensitive data
  9. 9 best advice
  10. 10 repo to docker
  11. 11 build frequently
  12. 12 code information control
  13. 13 summary
  14. 14 tips
  15. 15 QA

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