python automation scripts examples

This article introduces a tutorial on using Python scripts to deploy MoinMoin on Nginx and Uwsgi, with examples based on the CentOS operating system, and the friends you need can refer to the The MoinMoin was deployed under CentOS, but the edit and save pages were slow, so they were ready to use NGINX+UWSGI to redeploy the Apache+mod_wsgi This article assumes t

1. Examples of scripts that recursively list files in a directoryThe list of files in the directory can be done by using the following method:Os.listdir ()In [1]: import OSIn [4]: os.listdir ('/root ')OUT[4]:['. TCSHRC ','. Bash_history ','. BASHRC ',' ENV ','. Cache ','. config ','. CSHRC ','. Bash_logout ',' Python ','. SSH ',' Shell ','. Bash_profile ','. Ipyt

suspense, essentially the execution of commands.4. Call the Python script (the Python script itself is a parameter)Insert a digression here, the following is a brief description of the Python parameters:# -*-coding:utf-8-*- " " module required: SYS parameter number: len (sys.argv) script name: sys.argv[0] Parameter 1: sys.argv[1] Parameter 2: sys.argv

frequently, you cannot use communicate ();Because the communicate communication closes the pipeline once. You can try the following method:P= subprocess. Popen (["WC"], stdin=subprocess. Pipe,stdout=subprocess. Pipe,shell=true)P.stdin.write (' Your command ')P.stdin.flush ()#......do somethingTry#......do somethingP.stdout.readline ()#......do somethingExceptPrint (' IOError ')#......do something MoreP.stdin.write (' Your other command ')P.stdin.flush ()#......do something More2.2 subprocess ch

1. Function definitionA function is a group of statements that accomplishes a particular function, which can be used as a unit and give it a name that can be executed multiple times in different places of the program by the function name (often called a function call) Predefined functions (can be used directly) Custom functions (write it yourself) Why use a function?Reduce the difficulty of programming, usually a complex big problem decomposition into a series of small problems