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{{Short description|Concepts in statistics and computer science}}
An '''Aggregate pattern''' can refer to concepts in either statistics or computer programming. Both uses deal with considering a large case as composed of smaller, simpler, pieces.▼
{{one source |date=March 2024}}
▲An '''Aggregate pattern''' can refer to concepts in either statistics or computer programming. Both uses
== Statistics ==
An aggregate pattern is an important statistical concept in many fields that rely on [[statistics]] to predict the behavior of large groups, based on the tendencies of subgroups to consistently behave in a certain way. It is particularly useful in [[sociology]], [[economics]], [[psychology]], and [[criminology]].
== Computer programming ==
In ''[[Design Patterns]]'', an aggregate is not a [[Software design pattern|design pattern]] but rather refers to an object such as a list, vector, or generator which provides an interface for creating [[iterator]]s. The following example code is in [[Python (programming language)|Python]].
<
def fibonacci(n: int):
a, b = 0, 1
count = 0
while count < n:
count += 1
a, b = b, a + b
yield a
for x in fibonacci(10):
print
def fibsum(n: int) -> int:
total = 0
for x in fibonacci(n):
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return total
def fibsum_alt(n: int) -> int:
"""
Alternate implementation. demonstration that Python's built-in function sum()
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return sum(fibonacci(n))
myNumbers = [1, 7, 4, 3, 22]
def average(g) -> float:
return float(sum(g)) / len(g) # In Python 3 the cast to float
</syntaxhighlight>
Python hides essentially all of the details using the [https://
== See also ==
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{{Reflist}}
[[Category:Software design patterns]]
[[Category:Articles with example Python (programming language) code]]
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