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