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How Can I Efficiently Collect Results from Repeated Calculations in Python?

Linda Hamilton
Release: 2024-12-18 01:34:10
Original
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How Can I Efficiently Collect Results from Repeated Calculations in Python?

Collecting the Results of Repeated Calculations

Problem Statement:

I need to collect the results of a calculation performed repeatedly for multiple values of x and use them afterward.

General Approaches

Using an Explicit Loop:

  • Create a list or dictionary before the loop and append or associate results as they are calculated:
ys = []
for x in [1, 3, 5]:
    ys.append(x + 1)

ys = {}
x = 19
while x != 1:
    y = next_collatz(x)
    ys[x] = y
    x = y
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Using a Comprehension or Generator Expression:

  • List comprehension:

    xs = [1, 3, 5]
    ys = [x + 1 for x in xs]
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  • Dictionary comprehension:

    ys = {x: x + 1 for x in xs}
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Using map:

  • Map a function to a sequence and convert the result to a list:

    def calc_y(an_x):
      return an_x + 1
    xs = [1, 3, 5]
    ys = list(map(calc_y, xs))
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Specific Examples:

Collecting Results for a Fixed Sequence:

def make_list_with_inline_code_and_for():
    ys = []
    for x in [1, 3, 5]:
        ys.append(x + 1)
    return ys

def make_dict_with_function_and_while():
    x = 19
    ys = {}
    while x != 1:
        y = next_collatz(x)
        ys[x] = y # associate each key with the next number in the Collatz sequence.
        x = y # continue calculating the sequence.
    return ys
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Managing Changing Data during a Loop:

Using a Generator Expression:

def collatz_from_19():
    def generate_collatz():
        nonlocal x
        yield x
        while x != 1:
            x = next_collatz(x)
            yield x
    x = 19
    return generate_collatz()
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Using map:

def collatz_from_19_with_map():
    def next_collatz2(value):
        nonlocal x
        x = value
        return next_collatz(x)
    x = 19
    return map(next_collatz2, range(1))
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