Concurrent and Parallel Programming in Python - Improving Our Wiki Worker

Concurrent and Parallel Programming in Python - Improving Our Wiki Worker

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers the implementation of a YAML pipeline executor in a main function, focusing on modifying the processing pipeline and handling queues. It addresses debugging and error handling, particularly with threading and keyword arguments. The tutorial extends the wiki worker with a master scheduler and tests the implementation, making final adjustments to ensure functionality. The process is aimed at creating a scalable and maintainable pipeline using YAML configuration.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the potential issues with having multiple instances of the same worker class.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What improvements are suggested for managing the number of instances in the worker class?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the text suggest improving the readability and maintainability of the code?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the proposed method for scaling the number of scrappers in the pipeline?

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