本文实例讲述了python简单实现计算过期时间的方法。分享给大家供大家参考。具体如下:
def time_passed(value): now = datetime.now() past = now - value if past.days: return u'%s天前' % past.days mins = past.seconds / 60 if mins < 60: return u'%s分钟前' % mins hours = mins / 60 return u'%s小时前' % hours
希望本文所述对大家的Python程序设计有所帮助。

The basic syntax for Python list slicing is list[start:stop:step]. 1.start is the first element index included, 2.stop is the first element index excluded, and 3.step determines the step size between elements. Slices are not only used to extract data, but also to modify and invert lists.

Listsoutperformarraysin:1)dynamicsizingandfrequentinsertions/deletions,2)storingheterogeneousdata,and3)memoryefficiencyforsparsedata,butmayhaveslightperformancecostsincertainoperations.

ToconvertaPythonarraytoalist,usethelist()constructororageneratorexpression.1)Importthearraymoduleandcreateanarray.2)Uselist(arr)or[xforxinarr]toconvertittoalist,consideringperformanceandmemoryefficiencyforlargedatasets.

ChoosearraysoverlistsinPythonforbetterperformanceandmemoryefficiencyinspecificscenarios.1)Largenumericaldatasets:Arraysreducememoryusage.2)Performance-criticaloperations:Arraysofferspeedboostsfortaskslikeappendingorsearching.3)Typesafety:Arraysenforc

In Python, you can use for loops, enumerate and list comprehensions to traverse lists; in Java, you can use traditional for loops and enhanced for loops to traverse arrays. 1. Python list traversal methods include: for loop, enumerate and list comprehension. 2. Java array traversal methods include: traditional for loop and enhanced for loop.

The article discusses Python's new "match" statement introduced in version 3.10, which serves as an equivalent to switch statements in other languages. It enhances code readability and offers performance benefits over traditional if-elif-el

Exception Groups in Python 3.11 allow handling multiple exceptions simultaneously, improving error management in concurrent scenarios and complex operations.

Function annotations in Python add metadata to functions for type checking, documentation, and IDE support. They enhance code readability, maintenance, and are crucial in API development, data science, and library creation.


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