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You're reading from  Advanced Python Programming - Second Edition

Product typeBook
Published inMar 2022
PublisherPackt
ISBN-139781801814010
Edition2nd Edition
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Author (1)
Quan Nguyen
Quan Nguyen
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Quan Nguyen

Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.
Read more about Quan Nguyen

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Use cases

The decorator pattern shines when used for implementing cross-cutting concerns (j.mp/wikicrosscut). Examples of cross-cutting concerns are as follows:

  • Data validation
  • Caching
  • Logging
  • Monitoring
  • Debugging
  • Business rules
  • Encryption

In general, all parts of an application that are generic and can be applied to many different parts of it are considered to be cross-cutting concerns.

Another popular example of using the decorator pattern is graphical user interface (GUI) toolkits. In a GUI toolkit, we want to be able to add features such as borders, shadows, colors, and scrolling to individual components/widgets.

Now, let's move on to the implementation part of the chapter, in which we will see how the decorator pattern helps with memoization.

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Advanced Python Programming - Second Edition
Published in: Mar 2022Publisher: PacktISBN-13: 9781801814010

Author (1)

author image
Quan Nguyen

Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.
Read more about Quan Nguyen