本文实例讲述了Python pygorithm模块用法。分享给大家供大家参考，具体如下：
pygorithm：一个用纯粹python编写的Python模块，用于纯粹的教育目的。只需导入所需的算法即可获取代码，时间复杂度等等。开始学习Python编程的好方法。了解Python中所有主要算法的实现。不需要上网就可以获得所需的代码。
安装
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pip3 install pygorithm |
常见函数
斐波那契数列
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from pygorithm.fibonacci import recursionresult = recursion.get_sequence(10)print(result) # [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55]code = recursion.get_code() # 获取实现函数的算法print(code) |
获取最小公倍数
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from pygorithm.math import lcmresult = lcm.lcm([4,6])print(result) # 12code = lcm.get_code() # 获取实现函数的算法print(code) |
质数算法
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from pygorithm.math import sieve_of_eratosthenesresult = sieve_of_eratosthenes.sieve_of_eratosthenes(10) # 获取小于10的质数print(result) # [2,3,5,7]code = lcm.get_code() # 获取实现函数的算法print(code) |
阶乘
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from pygorithm.math import factorialresult = factorial.factorial(5) # 获取5的阶乘，即1*2*3*4*5print(result) # 120code = factorial.get_code() # 获取实现函数的算法print(code) |
十进制转二进制
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from pygorithm.math import conversionresult = conversion.decimal_to_binary(3) # 将3转换为二进制print(result) # 11code = conversion.get_code() # 获取实现函数的算法print(code) |
二进制转十进制
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from pygorithm.math import conversionresult = conversion.binary_to_decimal(11) # 将11转换为十进制print(result) # 3code = conversion.get_code() # 获取实现函数的算法print(code) |
十进制转十六进制
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from pygorithm.math import conversionresult = conversion.decimal_to_hex(15) # 将15转换为十六进制数print(result) # Fcode = conversion.get_code() # 获取实现函数的算法print(code) |
十六进制转十进制
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from pygorithm.math import conversionresult = conversion.hex_to_decimal("F") # 将十六进制F转化为十进制数print(result) # 15code = conversion.get_code() # 获取实现函数的算法print(code) |
二分法搜索：效率高
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from pygorithm.searching import binary_searchl = [9,4,5,1,7]index = binary_search.search(l,5) # 获取5在列表中的位置，找到返回下标，找不到返回Falseprint(index)code = binary_search.get_code() # 获取实现函数的算法print(code) |
线性搜索：速度慢，适用性广
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from pygorithm.searching import linear_searchl = [9,4,5,1,7]index = linear_search.search(l,5) # 获取5在列表中的位置，找到返回下标，找不到返回Falseprint(index)code = linear_search.get_code() # 获取实现函数的算法print(code) |
插值搜索：注意：列表必须先经过升序排序，否则将找不到
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from pygorithm.searching import interpolation_searchl = [1,4,5,7,9]index = interpolation_search.search(l,4) # 获取5在列表中的位置，找到返回下标，找不到返回Falseprint(index)code = interpolation.get_code() # 获取实现函数的算法print(code) |
冒泡排序
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from pygorithm.sorting import bubble_sortl = [9,4,5,1,7]result = bubble_sort.sort(l)print(result) # [1, 4, 5, 7, 9]code = bubble_sort.get_code() # 获取实现函数的算法print(code) |
改良冒泡排序
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from pygorithm.sorting import bubble_sortl = [9,4,5,1,7]result = bubble_sort.improved_sort(l)print(result) # [1, 4, 5, 7, 9] |
桶排序
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from pygorithm.sorting import bucket_sortl = [9,4,5,1,7]result = bucket_sort.sort(l,5) # 5为桶的大小，默认为5print(result) # [1, 4, 5, 7, 9]code = bucket_sort.get_code() # 获取实现函数的算法print(code) |
计数排序
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from pygorithm.sorting import counting_sortl = [9,4,5,1,7]result = counting_sort.sort(l) print(result) # [1, 4, 5, 7, 9]code = counting_sort.get_code() # 获取实现函数的算法print(code) |
堆排序
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from pygorithm.sorting import heap_sortl = [9,4,5,1,7]result = heap_sort.sort(l)print(result) # [1, 4, 5, 7, 9]code = heap_sort.get_code() # 获取实现函数的算法print(code) |
插入排序
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from pygorithm.sorting import insertion_sortl = [9,4,5,1,7]result = insertion_sort(l)print(result) # [1, 4, 5, 7, 9]code = insertion_sort.get_code() # 获取实现函数的算法print(code) |
归并排序
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from pygorithm.sorting import merge_sortl = [9,4,5,1,7]result = merge_sort.sort(l)print(result) # [1, 4, 5, 7, 9]code = merge_sort.get_code() # 获取实现函数的算法print(code) |
快速排序
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from pygorithm.sorting import quick_sortl = [9,4,5,1,7]result = quick_sort.sort(l)print(result) # [1, 4, 5, 7, 9]code = quick_sort.get_code() # 获取实现函数的算法print(code) |
选择排序
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from pygorithm.sorting import selection_sortl = [9,4,5,1,7]result = selection_sort.sort(l)print(result) # [1, 4, 5, 7, 9]code = selection_sort.get_code() # 获取实现函数的算法print(code) |
希尔排序
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from pygorithm.sorting import shell_sortl = [9,4,5,1,7]result = shell_sort.sort(l)print(result) # [1, 4, 5, 7, 9]code = shell_sort.get_code() # 获取实现函数的算法print(code) |
更多经典算法: http://pygorithm.readthedocs.io/en/latest/index.html
希望本文所述对大家Python程序设计有所帮助。
原文链接：https://blog.csdn.net/y472360651/article/details/77881919
