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Amdahl's Law and Parallelism
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Classroom Contents
Speed Up Your Data Processing
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- 1 Intro
- 2 A typical data science workflow
- 3 Data Processing in Python
- 4 Challenges with Data Processing
- 5 Task 1: Toast 100 slices of bread
- 6 Sequential Processing
- 7 Parallel Processing
- 8 Task 2: Brew coffee
- 9 Synchronous Execution
- 10 Practical Considerations
- 11 Amdahl's Law and Parallelism
- 12 Multiprocessing vs Multithreading
- 13 Initialize Submission List
- 14 Using ThreadPoolExecutor
- 15 Initialize Python modules
- 16 Initialize image resize process
- 17 Initialize File List in Directory
- 18 Using List Comprehensions
- 19 Using Process PoolExecutor
