Practice Pipelines And Data Processing (3.7.2) - Chapter 3: Generators and Iterators

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6 sample questions

Question 1.
Define what a pipeline is in data processing.
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Think about how data flows through multiple steps.
Question 2.
What is a generator?
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Consider how it produces items on demand.
3Question 3.
What is a generator?
- A function that returns a value
- An object that represents a stream of data
- A type of variable
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Think about what makes a generator special.
4Question 4.
True or False: A generator can yield multiple values at once.
- True
- False
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Consider how generators operate.
Question 5.
Create a complex data processing pipeline that takes a list of random numbers, squares them, filters out odd results, and returns the sorted list.
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Start by structuring your functions one at a time.
Question 6.
Design a more efficient pipeline that could handle filtering and transformation in one generator instead of separate ones.
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Retain focus on both the conditions for filtering and how to transform the data.

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