What does the "yield" keyword do in Python?
To better understand what yield
does, you need first to understand what generator
and iterable
are.
What is iterable
When you use a list or list-like structure, you can read the values from the list one by one. This is called iteration.
list_of_numbers = [1,10,100,1000]
# iterating over the list
for i in list_of_numbers:
print(i)
This is why in many languages, the iterating variable is usually named i
, but it can be named however you like. In short, basically, anything that can be used in for _ in _
is iterable.
What is generator
Generators are special kinds of iterables. They don’t store the values in memory, but rather generate the value on the fly. This means you can only iterate over them once.
generator = (x + 1 for x in range(4))
for i in generator:
print(i)
What is yield
Finally the yield
keyword. yield
is used like return but instead of returning a single value it returns a generator. This is very useful when your function will return a huge set of values that you don’t want to store in memory.
def create_generator(n):
for i in range(n):
yield n + 1
generator = create_generator(4)
for i in generator:
print(i)
In the example above, when calling the function create_generator
, the function doesn’t return, instead, it creates a generator object.
-
How To Log All Requests From The Python Request Library?
If you are new to logging in Python, please feel free to start with our Introduction to Python logging to get started smoothly. Otherwise, here is how to log all requests from the python request li...
Questions -
How To Write Logs To A File With Python?
If you are new to logging in Python, please feel free to start with our Introduction to Python logging to get started smoothly. Otherwise, here is how to write logs to a file in Python: Using Basic...
Questions -
How to Log to Stdout with Python?
If you are new to logging in Python, please feel free to start with our Introduction to Python logging to get started smoothly. Otherwise, here is how to log to Stdout with Python: Using Basic Conf...
Questions -
Task scheduling in Python
Learn how to create and monitor Python scheduled tasks in a production environment
Guides
We are hiring.
Software is our way of making the world a tiny bit better. We build tools for the makers of tomorrow.
Help us in making the internet more reliable.

Help us with developer education and get paid.

Reliability is the
ultimate feature
Delightful observability tools that turn your logs & monitoring into a secret weapon for shipping better software faster.
Explore Better Stack
