Flattening a nested list in Python refers to the process of converting a list that contains other lists (or nested lists) into a single list with all the elements. This can be accomplished using various methods such as list comprehensions, the `itertools.chain()` function, or recursion.
# Example using list comprehension
def flatten(nested_list):
return [item for sublist in nested_list for item in sublist]
nested_list = [[1, 2, 3], [4, 5], [6]]
flat_list = flatten(nested_list)
print(flat_list) # Output: [1, 2, 3, 4, 5, 6]
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?