Practice Pipelines and Data Processing - 3.7.2 | Chapter 3: Generators and Iterators | Python Advance
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Pipelines and Data Processing

3.7.2 - Pipelines and Data Processing

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define what a pipeline is in data processing.

💡 Hint: Think about how data flows through multiple steps.

Question 2 Easy

What is a generator?

💡 Hint: Consider how it produces items on demand.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a generator?

A function that returns a value
An object that represents a stream of data
A type of variable

💡 Hint: Think about what makes a generator special.

Question 2

True or False: A generator can yield multiple values at once.

True
False

💡 Hint: Consider how generators operate.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a complex data processing pipeline that takes a list of random numbers, squares them, filters out odd results, and returns the sorted list.

💡 Hint: Start by structuring your functions one at a time.

Challenge 2 Hard

Design a more efficient pipeline that could handle filtering and transformation in one generator instead of separate ones.

💡 Hint: Retain focus on both the conditions for filtering and how to transform the data.

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