List Comprehensions or Explicit Calls for Side Effects in Python: Which is Better?

Side Effects: List Comprehensions vs. Explicit Calls

When working with functions that primarily execute side effects rather than providing return values, it's crucial to adhere to proper Pythonic coding practices. In this context, the debate arises: should list comprehensions be employed for side effects or should explicit calls be used instead?

Traditionally, the preferred approach is to utilize explicit calls for side effects, as depicted below:

This method is deemed Pythonic because it avoids the creation of an unnecessary intermediate list. List comprehensions, while concise, can become extremely inefficient when dealing with large datasets, as they require the construction of an intermediate list prior to discarding it.

Hence, it is recommended to avoid using list comprehensions solely for side effects. Doing so contradicts Python's emphasis on efficiency and resource optimization.

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