python multi-thread thread
#! /usr/bin/env python # -*- coding:utf-8 -*- from threading import Thread import subprocess from Queue import Queue num_threads = 3 ips = ['10.108.100.174', '119.75.218.77', '127.0.0.1'] q = Queue() def pingit(i, queue): while True: ip = queue.get() print "thread %s is pinging %s" % (i, ip) ret = subprocess.call('ping -c 3 %s' % ip, shell=True, stdout=open('/dev/null','w'))#正常则返回0,异常则返回1;stdout=open('/dev/null','w')屏蔽ping具体细节信息 if ret != 0: print "%s is down" % ip queue.task_done() for i in xrange(num_threads):#xrang比range好 t = Thread(target=pingit, args=(i, q)) t.setDaemon(True)#设置了setDaemon则线程会随着主线程关闭而关闭,python中,主线程结束后,会默认等待子线程结束后,主线程才退出 t.start() for ip in ips: q.put(ip) print "main thread is waiting..." q.join() print "Done..."

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

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