The document discusses Python generators, which are iterator functions that yield values instead of returning them, allowing for memory-efficient generation of sequences. Key advantages include ease of implementation and the ability to generate infinite sequences. It also describes the use of the 'next()' function to retrieve elements from a generator.

2. What’s in it for you?
Advantages of Generators
What is a Generator in Python
If Else Statement

3. What is a Generator in Python?
Python Generators lets you create your own iterator functions
that return the traversal object with a sequence of values
In a generator function, a yield statement is used rather than a
return statement
The return statement terminates a function entirely while the
yield statement pauses the function, holding all its states and
continuing on successive calls

4. Advantages of Generators
Easy to implement
Memory efficient
Generate infinite sequence
Pipelining with generators

5. next () Function
next () function is used to retrieve element from a
generator object
Syntax: next(generator_obj)

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