规则3: 比较两个字符串或两个数字类型, 比较结果是符合预期的(字符串是字典顺序, 整型是数字大小的顺序) 原文: When you order two strings or two numeric types the ordering is done in the expected way (lexicographic ordering for string, numeric ordering
Comparison of Floating-Point Values Comparing floating-point numbers is a bit more complicated than comparing integers. The value stored in a float object may not be precisely what you’d think it would be. For that reason, it’s bad practice to compare floating-point values for exact equality...
Enum string comparison To compare a string with an enum, extend from thestrclass when declaring your enumeration class, e.g.class Color(str, Enum):. You will then be able to compare a string to an enum member using the equality operator==. How to compare a string with an Enum in Pyt...
you can convert a string containing characters that would be a valid float (digits, signs, decimal point, or an e followed by an exponent) to a real float. Python also promotes booleans to integers or floats. Chapter4: Choose with if Python is unusual in this use of white space to def...
myString = "This is a string!" # This is a string variable myInteger = 5 # This is an integer value myFloat = 5.5 #This is a floating-point value myList = [ 1, 2, 3, 4, 5] #This is a list of integers myDict = { 'name' : 'Python User', 'value' : 75 } #This is ...
import json string = '["apple", "banana", "cherry"]' list_of_fruits = json.loads(string) print(list_of_fruits) # Output: ['apple', 'banana', 'cherry'] Copy Comparison of Methods MethodUse CasePerformance split() Simple delimited strings Fast List Comprehension Character-by-character co...
深度学习的主题最近非常受欢迎,在这个过程中,出现了几个术语,使区分它们变得相当复杂。人们可能会发现,由于主题之间大量的重叠,将每个领域整齐地分开是一项艰巨的任务。 本章通过讨论深度学习的历史背景以及该领域如何演变成今天的形式来介绍深度学习的主题。稍后,我们将通过简要介绍基础主题来介绍机器学习。从深度学习开始...
# A simple example to count the number of booleans and # integers in an iterable of mixed data types. mixed_list = [False, 1.0, "some_string", 3, True, [], False] integers_found_so_far = 0 booleans_found_so_far = 0 for item in mixed_list: if isinstance(item, int): ...
int, float, complex, string, tuple (the "value" of an immutable object can't change, but its constituent objects can.), frozenset [note: immutable version of set], bytesFeatures:Python handles mutable and immutable objects differently. Immutable are quicker to access than mutable objects. ...
Comparison of Floating-Point ValuesComparing floating-point numbers is a bit more complicated than comparing integers. The value stored in a float object may not be precisely what you’d think it would be. For that reason, it’s bad practice to compare floating-point values for exact equality...