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Classroom Contents
Comparing the Different Ways to Scale Python and Pandas Code
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- 1 Intro
- 2 Pandas Limitations
- 3 How To Scale Out?
- 4 Distributed Computing Frameworks
- 5 Reducing Barrier to Entry
- 6 Introduction to Fugue
- 7 Fugue Transform
- 8 Bringing it to Spark
- 9 The DataFrame For Tests
- 10 Pandas Assumes Data Is Physically Together
- 11 Pandas Assumes Data Shuffle is Cheap
- 12 Pandas Assumes Eager Evaluation
- 13 Eager vs Lazy Evaluation
- 14 Expectation vs Reality
- 15 A Spark Solution Based On Traditional SOL Syntax
- 16 Fugue SQL
- 17 Leveraging Python
- 18 SQL Code Size & Execution Time
