How Can I Efficiently Iterate Over a List in Chunks in Python?

Iterating Over a List in Chunks

In Python, we often encounter scenarios where we need to process data sequentially in fixed-size chunks. While manual iteration techniques can be effective, they can be verbose and error-prone. Thankfully, Python offers several built-in methods and third-party libraries to simplify this task.

One approach, introduced with Python 3.12, utilizes the itertools.grouper() function, which partitions an iterable into chunks of a specified size efficiently and elegantly. Here's how:

from itertools import grouper

def chunker(seq, size):
    return grouper(seq, size)

This function takes a sequence (seq) and a chunk size (size) and returns an iterable of tuples representing each chunk. For instance:

text = "Hello world, how are you?"

for chunk in chunker(text, 3):
    print(" ".join(chunk))

# Output:
# Hello world
# how are you?

The example demonstrates the grouping of the input string into tuples of size 3. This method is particularly useful when working with large datasets or when the chunk size is dynamic. However, if compatibility with older Python versions is a concern, alternative solutions described in the thread remain relevant.

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