In what situations are generators used in Python for data processing?

Generators in Python are used for efficient processing of large or potentially infinite data streams when it is impractical to load all data into memory at once.

Main use cases for generators:

• Processing large files line by line to avoid loading the entire file into memory.
• Iterating over large collections or computational sequences (e.g., Fibonacci numbers).
• Implementing lazy computations where values are calculated on demand.

Example of a generator for reading a file line by line:

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

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

This approach saves memory and allows for stream processing of data.