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Generators In Python
What’s in it for you?
Advantages of Generators
What is a Generator in Python
If Else Statement
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
Advantages of Generators
Easy to implement
Memory efficient
Generate infinite sequence
Pipelining with generators
next () Function
next () function is used to retrieve element from a
generator object
Syntax: next(generator_obj)
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Generators In Python

  • 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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