Python 3.14 新機能とパフォーマンス比較｜最新バージョンの性能向上を徹底検証

import time
import random
import math
import sys

def list_comprehension_test():
    return [i**2 for i in range(500000)]

def list_append_test():
    list_append = []
    for i in range(500000):
        list_append.append(i**2)
    return list_append

def string_join_test():
    strings = [str(i) for i in range(50000)]
    return "".join(strings)

def string_plus_test():
    slow_joined_string = ""
    for i in range(50000):
        slow_joined_string += str(i)
    return slow_joined_string

def float_operation_test():
    total = 0
    for i in range(500000):
        total += math.sqrt(i) * math.sin(i)
    return total

def dict_test():
    my_dict = {i: i * 2 for i in range(50000)}
    for i in range(50000):
        value = my_dict[i]
    return my_dict

def sort_test():
    random_list = [random.randint(0, 100000) for _ in range(50000)]
    return sorted(random_list)

def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

def recursion_test():
    return fibonacci(25)

def measure_execution_time(func, name):
    start_time = time.time()
    result = func()
    end_time = time.time()
    elapsed_time = end_time - start_time
    print(f"{name}: {elapsed_time:.6f} 秒")
    return result

if __name__ == "__main__":
    print(f"Python version: {sys.version}")
    measure_execution_time(list_comprehension_test, "リスト内包表記")
    measure_execution_time(list_append_test, "forループとappend")
    measure_execution_time(string_join_test, "文字列連結 (join)")
    measure_execution_time(string_plus_test, "文字列連結 (+)")
    measure_execution_time(float_operation_test, "浮動小数点演算")
    measure_execution_time(dict_test, "辞書操作")
    measure_execution_time(sort_test, "ソート")
    measure_execution_time(recursion_test, "再帰関数")