常用时间转换及处理函数:
import datetime # 获取当前时间 d1 = datetime.datetime.now() print d1 # 当前时间加上半小时 d2 = d1 + datetime.timedelta(hours=0.5) print d2 # 格式化字符串输出 d3 = d2.strftime('%Y-%m-%d %H:%M:%S') print d3 # 将字符串转化为时间类型 d4 = datetime.datetime.strptime(date,'%Y-%m-%d %H:%M:%S.%f') print d4
获取本周和本月第一天的日期:
# -*- coding:utf-8 -*- import datetime def first_day_of_month(): ''' 获取本月第一天 :return: ''' # now_date = datetime.datetime.now() # return (now_date + datetime.timedelta(days=-now_date.day + 1)).replace(hour=0, minute=0, second=0, # microsecond=0) return datetime.date.today() - datetime.timedelta(days=datetime.datetime.now().day - 1) def first_day_of_week(): ''' 获取本周第一天 :return: ''' return datetime.date.today() - datetime.timedelta(days=datetime.date.today().weekday()) if __name__ == "__main__": this_week = first_day_of_week() last_week = this_week - datetime.timedelta(days=7) this_month = first_day_of_month() last_month = this_month - datetime.timedelta(days=(this_month - datetime.timedelta(days=1)).day) print this_week print last_week print this_month print last_month
#! /usr/bin/python # coding=utf-8 import datetime """ datetime的功能强大 能支持0001年到9999年 """ """ 当前时间 返回的是一个datetime类型 now方法有个参数tz,设置时区类型。如果没有和方法today的效果一样 """ now = datetime.datetime.now() #UTC时间 datetime.datetime.utcnow() attrs = [ ("year","年"),('month',"月"),("day","日"),('hour',"小时"),( 'minute',"分"),( 'second',"秒"),( 'microsecond',"毫秒"),( 'min',"最小"),( 'max',"最大"), ] for k,v in attrs: "now.%s = %s #%s" % (k,getattr(now, k),v) """ 返回一个time结构 """ now.timetuple() """ 返回一个date类型 """ now.date() """ 返回一个time类型 """ now.time() """ 当前星期几。星期一是0,星期于是6 注意这里是方法,不是属性哦。 """ now.weekday() """ 当前星期几。星期一是1,星期于是7 注意这里是方法,不是属性哦。 """ now.isoweekday() """ 修改当前时间。比如修改成当月1号 """ now.replace(day=1) past = datetime.datetime(2010,11,12,13,14,15,16) """ 进行比较运算 返回的是timedelta类型 """ now-past """ 转成字符串 详细规则见Time篇 """ strdatetime = now.strftime("%Y-%m-%d %H:%M:%S") """ 字符串生成datetime对象 """ datetime.datetime.strptime(strdatetime, "%Y-%m-%d %H:%M:%S")
以上所述就是本文的全部内容了,希望大家能够喜欢。

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use