代码如下: 1classSolution(object):2defisPerfectSquare(self, num):3"""4:type num: int5:rtype: bool6"""7left, right =0, num8whileleft <=right:9mid = (left+right) / 210ifmid ** 2 ==num:11returnTrue12elifmid ** 2 <num:13left = mid + 114else:15right = mid -116returnFalse
guess and check: >>>defsquareRoot():num=int(input('Enter an integer: '))ans=0whileans**2<num:ans=ans+1ifans**2!=num:print(str(num)+' is not a perfect square')else:print('Square root of '+str(num)+' is '+str(ans))>>>squareRoot()Enteraninteger:9Squarerootof9is3>>>square...
>>> make_anonymous_factorial()(5) 120 >>> from construct_check import check >>> check(HW_SOURCE_FILE, 'make_anonymous_factorial', ['Assign', 'AugAssign', 'FunctionDef', 'Recursion']) True """ return 'YOUR_EXPRESSION_HERE' 要求只能使用一行代码实现,并且实现当中不能使用赋值、函数定义和...
判断一个字符串是否为纯数字: is_digit = lambda s: s.isdigit() result = is_digit("123") print(result) # 输出:True #19. 判断一个数是否为完全平方数: is_perfect_square = lambda x: int(x**0.5)**2 == x result = is_perfect_square(16) print(result) # 输出:True #20. 将一个列表...
Once you’re ready to start organizing your code into modules and packages, you can check out the following resources: Python Modules and Packages – An Introduction How to Publish an Open-Source Python Package to PyPI How to Publish Your Own Python Package to PyPI Spyder is a really big pi...
argparse模块使编写用户友好的命令行界面变得很容易。程序定义了它需要什么参数,argparse将找出如何从sys.argv中解析这些参数。argparse模块还自动生成帮助和使用消息,并在用户给程序提供无效参数时发出错误。 1.例子 下面的代码是一个Python程序,它接受一个整数列表,并产生和或最大值: ...
# 1 find the squre root of num# 2 check if it is a perfect square number# solution: no built-in library & binary searchdef valid_perfect_square(num):if num<2:return Trueleft,right=2, num//2 # create two pointers: left and rightwhile left<=right: # while loop to constantly update...
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2. Recursively check level and return them, O(n) and O(n) 367Valid Perfect SquarePythonJavaInteger square root 1. 1+3+…+(2n-1) = n^2 2. Binary search 3. Newton's method 368Largest Divisible SubsetPythonSort and generate x subset with previous results, O(n^2) and O(n^2) ...
问euler's ex 94项目的Python解决方案EN背景：生活中常常因日常工作，在记录统计方面需频繁处理较多 Excel 表格，这部分工作虽可由人工完成，但这样会显得有些繁琐且可能存在偏差，遂闲时查阅了是否有相关基于python处理Excel表格的学习文档，后获知这主要可以运用 win32 和 openpyxl 等第三方库来帮助完成。在此分享一...