How was the generation mechanism implemented in your Python project?

In my Python project, the generation mechanism was implemented using generators — functions that use the yield keyword to produce values step by step. This allows efficient handling of large data volumes without loading everything into memory.

For example, if you need to process a large file line by line, you can write a generator:

def read_lines(file_path):
    with open(file_path, 'r') as f:
        for line in f:
            yield line.strip()

for line in read_lines('bigfile.txt'):
    print(line)

This approach allows you to get lines one by one, saving memory and increasing performance. In the project, generators were used for lazy data processing, creating infinite sequences, and simplifying asynchronous code.