Pythonic Data Handling

Any object implementing __iter__ and __next__ is an iterator. A generator function, marked by yield, builds one automatically and produces values lazily.

Lazy evaluation keeps memory use constant even for very large inputs — an important property when processing datasets that do not fit in memory.

Generator expressions, such as sum(x * x for x in data), combine readability with efficiency.