Running Python Code in Parallel and Asynchronously

Running Python Code in Parallel and Asynchronously

EuroPython Conference via YouTube Direct link

Introduction

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1 of 34

Introduction

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Classroom Contents

Running Python Code in Parallel and Asynchronously

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  1. 1 Introduction
  2. 2 Other talks
  3. 3 About me
  4. 4 Frameworks and tools
  5. 5 Akamai
  6. 6 Concurrent
  7. 7 Parallel and asynchronous
  8. 8 Threads and processes
  9. 9 How it applies to Python
  10. 10 Raymond Hettinger
  11. 11 Amdahl Law
  12. 12 Example
  13. 13 Parallel vs coarsegrained problems
  14. 14 Memory architectures
  15. 15 Ctype objects
  16. 16 Shared memory
  17. 17 Managers
  18. 18 Pullmap
  19. 19 Pool
  20. 20 Worker models
  21. 21 Multiworking applications
  22. 22 Multiple machines
  23. 23 Hyper threading
  24. 24 Slots
  25. 25 Dont target 100 utilization
  26. 26 How pipes are implemented
  27. 27 deadlocks
  28. 28 diamonds
  29. 29 readpep
  30. 30 what will you get
  31. 31 run
  32. 32 one obvious way
  33. 33 summary
  34. 34 questions

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