Scala - The Unpredicted Lingua Franca for Data Science

Scala - The Unpredicted Lingua Franca for Data Science

Scala Days Conferences via YouTube Direct link

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54 of 54

54 of 54

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Classroom Contents

Scala - The Unpredicted Lingua Franca for Data Science

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  1. 1 Introduction
  2. 2 Agenda
  3. 3 Why Scala
  4. 4 Spark Notebook
  5. 5 Markdown
  6. 6 Scala Features
  7. 7 Functional Programming
  8. 8 Spark
  9. 9 Python
  10. 10 Tuples
  11. 11 Pattern Matching
  12. 12 Case Classes
  13. 13 Type Inference
  14. 14 Type Safety
  15. 15 Unification
  16. 16 DomainSpecific
  17. 17 Notebooks
  18. 18 Spark Sessions
  19. 19 Caching
  20. 20 Sequel Query
  21. 21 Benefits of Scala
  22. 22 Scala Disadvantages
  23. 23 Teasers for tomorrow
  24. 24 We are still lacking
  25. 25 tooling and models
  26. 26 Spy Notebook
  27. 27 Spark Context
  28. 28 Notebook Driver
  29. 29 Notebook Stability
  30. 30 Notebook Objects
  31. 31 Legacy Objects
  32. 32 Reproducibility
  33. 33 Spark Connector
  34. 34 Metadata
  35. 35 Logs
  36. 36 Side Panel
  37. 37 Plotting
  38. 38 Graph DSL
  39. 39 GeoPoint Shot
  40. 40 Spatial Information
  41. 41 Reshape Data
  42. 42 Parse Data
  43. 43 Create a Dual Chart
  44. 44 Create a Rudder
  45. 45 Parallel coordinates
  46. 46 Time series
  47. 47 Time service
  48. 48 Reactive components
  49. 49 Synchronization
  50. 50 Models Algorithms
  51. 51 Spark Streaming
  52. 52 Other libraries
  53. 53 Docker
  54. 54 Courses

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