经常使用python检测服务器是否能ping通, 程序是否正常运行(检测对应的端口是否正常)
以前使用shell脚本的写法如下:
PINGRET=$( ping www.baidu.com -c 2 | grep "icmp_" ); if [ -z $PINGRET ]; then echo "ping fail"; else echo "ping ok"; fi
或者
ping -c 2 www.baidu.com|grep "icmp_" && echo 'ping ok' || echo 'ping fail'
代码示例:
#!/usr/bin/python
# encoding=utf-8
# Filename: net_is_normal.py
import os
import socket
import subprocess
#判断网络是否正常
server='www.baidu.com'
#检测服务器是否能ping通,在程序运行时,会在标准输出中显示命令的运行信息
def pingServer(server):
result=os.system('ping '+server+' -c 2')
if result:
print '服务器%s ping fail' % server
else:
print '服务器%s ping ok' % server
print result
#把程序输出定位到/dev/null,否则会在程序运行时会在标准输出中显示命令的运行信息
def pingServerCall(server):
fnull = open(os.devnull, 'w')
result = subprocess.call('ping '+server+' -c 2', shell = True, stdout = fnull, stderr = fnull)
if result:
print '服务器%s ping fail' % server
else:
print '服务器%s ping ok' % server
fnull.close()
#可用于检测程序是否正常,如检测redis是否正常,即检测redis的6379端口是否正常
#检测ssh是否正常,即检测ssh的22端口是否正常
def check_aliveness(ip, port):
sk = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sk.settimeout(1)
try:
sk.connect((ip,port))
print 'server %s %d service is OK!' %(ip,port)
return True
except Exception:
print 'server %s %d service is NOT OK!' %(ip,port)
return False
finally:
sk.close()
return False
if __name__=='__main__':
pingServerCall(server)
pingServer(server)
check_aliveness('192.168.230.128', 6379)

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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