Parallel Computing in Python - Current State and Recent Advances

Parallel Computing in Python - Current State and Recent Advances

EuroPython Conference via YouTube Direct link

Introduction

1 of 18

1 of 18

Introduction

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Parallel Computing in Python - Current State and Recent Advances

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  1. 1 Introduction
  2. 2 Why is parallel computing important
  3. 3 Parallelization on a single machine
  4. 4 Multiprocessing libraries
  5. 5 Problems with multiprocessing
  6. 6 Multiprocessing in Python
  7. 7 Disclaimer
  8. 8 Sterilization
  9. 9 Pickle
  10. 10 pickle limitations
  11. 11 pickle errors
  12. 12 pickle extensions
  13. 13 pythonicpickle
  14. 14 pickle module
  15. 15 pickle protocol 5
  16. 16 pickle buffer
  17. 17 conclusion
  18. 18 security

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