“Chain” combines multiple sequences into one from "summary" of Fluent Python by Luciano Ramalho
The "chain" tool is handy when you need to process items from multiple sequences, but you want to treat them as a single sequence. This is a common need in data processing, parsing, and algorithms that operate on sequences. The "chain" tool lets you avoid manually combining sequences before processing them. It simplifies your code and makes it more readable. When you use "chain," you pass it multiple sequences as arguments. It then iterates over each sequence in order, yielding items one by one. This creates the effect of a single sequence that contains all the items from the input sequences. The order of the items is preserved, so you can rely on the sequence being linear. A key advantage of using "chain" is that it works efficiently with any iterable, not just sequences like lists or tuples. This means you can combine any iterable objects, such as generators or iterators. This flexibility makes "chain" a powerful tool for working with a wide range of data structures in Python. By combining multiple sequences into one, "chain" allows you to simplify your code logic. Instead of dealing with multiple sequences separately, you can treat them as a single entity. This can lead to cleaner, more concise code that is easier to understand and maintain. Additionally, the use of "chain" can improve the performance of your code by avoiding unnecessary copies or transformations of the input sequences. In summary, the "chain" tool in Python is a versatile and efficient way to combine multiple sequences into a single iterable. It simplifies your code, improves readability, and allows you to work with a wide range of iterable objects. By understanding how to use "chain" effectively, you can write more concise and efficient code for processing sequences in Python.
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