Python 'yield from' Statement: Iterating Through Nested Lists

Introduction

This repository demonstrates how to use the 'yield from' statement in Python to iterate through a nested list.

Using the 'yield from' statement to iterate through a nested list is a powerful and elegant way to flatten the structure and yield elements from sublists as if they were part of a single list.

Explanation

The 'yield from' statement is used to delegate the yielding process to another generator or iterable. In this example, yield from sublist iterates through each sublist within the nested_list, yielding each item one by one.

def iterate_nested_lists(nested_list):
    for sublist in nested_list:
        yield from sublist

nested_list = [
    [1, 2, 3],
    [4, 5, 6],
    [7, 8, 9]
]

for value in iterate_nested_lists(nested_list):
    print(value)

Example Code

def iterate_Hamilton_list(Hamilton):
  for sublist in Hamilton:
    yield from sublist

#nested list
Hamilton = [["Hamilton", "Burr"], 
            ["Washington", "Jefferson", "Lafayette", "King George"],
            ["Angelica", "Eliza", "Peggy", "Mariah"],
            ["Philip", "Madison"]]

#iterate through nested list and print element of each sublist
for character in iterate_Hamilton_list(Hamilton):
  print(character)

Output

The above code will produce the following output:

Hamilton
Burr
Washington
Jefferson
Lafayette
King George
Angelica
Eliza
Peggy
Mariah
Philip
Madison

Advantages

• Readability: Simplifies nested iterations, making the code more readable.
• Conciseness: Reduces the amount of code required for nested loops.
• Efficiency: Streamlines the process of iterating through complex data structures.