Join Jungwoo Ryoo for an in-depth discussion in this video Iterator, part of Python: Design Patterns.
- The iterator pattern allows a client to have sequential access to the elements of an aggregate object without exposing its underlying structure. The problem is that some programmers overcrowd the traversal interfaces of an aggregate object for every possible way of iteration. We'll be building our own iterator that takes advantage of a built-in Python iterator called zip(). The iterator iterates through a list of German counting words.
It will iterate only up to a certain point based on a client input. An iterator isolates access and traversal features from an aggregate object. It also provides an interface for accessing the elements of an aggregate object. An iterator keeps track of the objects being traversed. One of the recommended solutions is to make the aggregate object create an iterator for a client. The composite design pattern is related to the iterator pattern.
- Understanding design patterns
- Best design practices: consistency, completeness, and correctness
- Working with creational patterns
- Working with structural patterns
- Working with behavioral patterns
Skill Level Intermediate
Q: In the strategy pattern example, why does the code keep executing the default function rather than the alternate?
A: The programming demonstration skips the step of defining what the strategy pattern should be when an alternate function name is provided
as an argument as shown below.
1. Understanding Design Patterns
2. Creational Patterns
3. Structural Patterns
4. Behavioral Patterns
5. Design Best Practices
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