Python inheritance how to disable a function

in python, the yield keyword is used in the context of defining generator functions. generator functions allow you to create iterators in a more convenient and memory-efficient way than traditional iterators. when you use yield within a function, it transforms that function into a generator.
in this tutorial, we will explore what the yield keyword does in python, how it differs from a regular function, and provide code examples to illustrate its usage.
before diving into the yield keyword, let's briefly understand what generators are. in python, generators are a type of iterable, just like lists or tuples, but they do not store all their values in memory at once. instead, they generate values on the fly, allowing you to work with large datasets without consuming excessive memory.
to create a generator, you use the yield keyword inside a function. when python encounters the yield keyword, it suspends the function's execution and returns the yielded value to the caller. the function's state is saved so that it can be resumed from where it left off the next time it's called.
here's a basic syntax example:
output:
in this example, my_generator is a generator function that yields three values. when you iterate over the generator object gen, the function is executed up to the first yield statement, and the value 1 is yielded. the function's state is saved, so it can continue from the next yield statement when the loop continues.
here are the key differences between generator functions and regular functions:
return vs. yield: regular functions use the return keyword to send a value back to the caller, which ends the function's execution. in contrast, generator functions use yield to send a value to the caller while preserving the function's state.
execution control: in regular functions, the entire function is executed from start to finish. in generator functions, execution can be paused and resumed, allowing for efficient iteration over large data streams.
memory usage: g ...