Python generator to list
Python generator to list
Here is a Python code that demonstrates how to use a generator function to convert a range of numbers into a list:
def generate_range(start, end):
for i in range(start, end + 1):
yield i
Example usage:start = 10
end = 20
result_list = list(generate_range(start, end))
print(result_list)
When you run this code, it will print the following output:
[10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
This example shows how to use a generator function to create a range of numbers and convert them into a list.
Here's how it works:
Thegenerate_range
function takes two parameters: start
and end
. These are the starting and ending points for the range we want to generate. Inside the function, we use the built-in range
function to create an iterator that generates numbers from start
up to but not including end
. We then use the yield
statement inside a loop to yield each number in the range as it is generated. The yield
statement returns control to the caller and preserves the state of the generator. When we want to convert this range into a list, we wrap the generator function call with the built-in list
function.
Using generators can be very efficient when working with large datasets because they allow us to generate data on-the-fly without having to create the entire dataset in memory at once.
Here is another example of using generators:
def infinite_sequence():
num = 0
while True:
yield num
num += 1
Example usage:result_list = []
gen = infinite_sequence()
for _ in range(10):
result_list.append(next(gen))
print(result_list)
When you run this code, it will print the following output:
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
This example shows how to use an infinite generator sequence and convert its values into a list. In real-world scenarios, you might want to use generators to generate sequences of random numbers or to create infinite sequences that can be used for testing or simulation.
In Python, generators are a powerful feature that can help you write more efficient and effective code.
Python Generator typing
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