Unleash Your Data with Clojure: Using Transducers and Sequences - Lecture 16

Unleash Your Data with Clojure: Using Transducers and Sequences - Lecture 16

ChariotSolutions via YouTube Direct link

Transducers

31 of 31

31 of 31

Transducers

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Unleash Your Data with Clojure: Using Transducers and Sequences - Lecture 16

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  1. 1 EMERGING TECHNOLOGIES FOR THE ENTERPRISE CONFERENCE
  2. 2 Unleash Your Data with Clojure
  3. 3 A Problem
  4. 4 Pseudo-code
  5. 5 Topics of discussion
  6. 6 Some code
  7. 7 Nested Maps
  8. 8 Abstraction
  9. 9 Deep inspection and retrieval
  10. 10 State and Concurrency
  11. 11 Attack of the clones
  12. 12 More problems
  13. 13 Iterator traversal
  14. 14 What about streams?
  15. 15 Collections
  16. 16 Domain objects
  17. 17 GitHub repo
  18. 18 Generic data interfaces
  19. 19 Protocols and multimethods
  20. 20 Separation of state and identity
  21. 21 State transition
  22. 22 Back to our example
  23. 23 More example
  24. 24 Nested sequence operations
  25. 25 Another example
  26. 26 Removing intermediate sequences
  27. 27 Reducers
  28. 28 Fold = reduce + combine
  29. 29 What does map do?
  30. 30 What is map about?
  31. 31 Transducers

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