How do I chunk lists in Python safely and idiomatically?

In Python, chunking a list can be done in a safe and idiomatic way using list comprehensions or generator functions. This allows you to efficiently process large lists without consuming too much memory.

Python, chunking lists, list comprehensions, generator functions, memory efficiency
This guide provides a method for chunking lists in Python, describing how to do so using idiomatic techniques such as list comprehensions and generators for improved memory usage.
def chunk_list(lst, chunk_size): """Yield successive chunks from lst.""" for i in range(0, len(lst), chunk_size): yield lst[i:i + chunk_size] # Example usage my_list = [1, 2, 3, 4, 5, 6, 7, 8, 9] chunks = list(chunk_list(my_list, 3)) print(chunks) # Output: [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

Python chunking lists list comprehensions generator functions memory efficiency

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?