using python to automate tasks

.? 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253 from crontab import CronTab# 创建当前用户的crontab，当然也可以创建其他用户的，但得有足够权限my_user_cron = CronTab(user=True)# 创建任务job = my_user_cron.new(command=‘echo date >> ~/time.log‘)# 设置任务执行周期，每两分钟执行一次job.setall(‘*/2 * * * *‘)# 当然还支持其他更人性化的设置方式，简单列举一些job.minute.during(5,50).every(5) job.hour.every(4)job.day.on(4, 5, 6)job.dow.on(‘SUN‘)job.dow.on(‘SUN‘, ‘FRI‘)job.month.during(‘APR‘, ‘NOV‘)job.setall(ti

users, but have sufficient permissions My_user_cron = crontab (user=true) # Create Task job = My_ User_cron.new (command= ' echo date >> ~/time.log ') # Set the task execution cycle, execute job.setall every two minutes (' */2 * * * * ') # and of course support other more humane settings, Simply list some job.minute.during (5,50). Every (5) job.hour.every (4) Job.day.on (4, 5, 6) Job.dow.on (' Sun ') job.dow.on (' Sun ', ' FRI ') job.month.during (' APR ', ' NOV ') Job.setall (Time (2)) Job.se

thumbnails to a specific folder. On this machine, it takes 6000 seconds to process 27.9 images using this program. If we use the map function to replace the for Loop: import os import PIL from multiprocessing import Pool from PIL import ImageSIZE = (75,75)SAVE_DIRECTORY = 'thumbs'def get_image_paths(folder): return (os.path.join(folder, f) for f in os.listdir(folder) if 'jpeg' in f)def create_thumbnail(filename): im = Image.open(filena

Abstract:This article briefly introduces how to use python to complete simple image processing tasks. Although the best tool for image processing is the MATLAB Image Processing Toolbox, python is more advantageous when performing some "simple" image processing tasks or a large number of simple image processing

Python's distributed task Huey how to implement asynchronous task explanation In this article we are going to share a Python lightweight task queue program that allows Python's distributed task Huey to implement asynchronous tasks that interested friends can look at. A lightweight task queue, function and related broker is not celery powerful, heavy on the light, and the code is easier to read.Introduc

, then we want to retrieve the data from the message queue, then convert the data back to the task and execute. We cannot predict when the message queue will have data generation, so our task execution program also needs to have the ability to monitor the message queue, which is a daemon that is resident in the background. The General Web application PHP is running in CGI mode and cannot reside in memory. We know that PHP also has a CLI mode, then whether the daemon can be implemented in the P

Sample Code of using celery to complete asynchronous tasks in Django, djangocelery This article describes how to use celery to complete asynchronous tasks in django. To improve user experience, some time-consuming operations can be executed in the asynchronous queue, such as activating emails, the current project environment is django = 1.11.8 celery = 3.1.25 red

, then we want to retrieve the data from the message queue, then convert the data back to the task and execute. We cannot predict when the message queue will have data generation, so our task execution program also needs to have the ability to monitor the message queue, which is a daemon that is resident in the background. The General Web application PHP is running in CGI mode and cannot reside in memory. We know that PHP also has a CLI mode, then whether the daemon can be implemented in

the numbers are printed out. The range (10) call produces a scope from 0 until (but not including) 10,range (0,10) explicitly tells the loop to start at 0, range (0,10,1)Explicitly tells the loop each iteration variable plus 1.13, write a small program, using for loop, print out from 1 to 10 numbers. Then, using the while loop, write an equivalent program to print a number from 1 to 10.# Write a short prog

Asynchronous tasks of Python Tornado framework and AsyncHTTPClient and asynchttpclient frameworks High-performance server TornadoPython has a wide variety of web frameworks. Just as glory belongs to Greece, greatness belongs to Rome. The elegant combination of Python and WSGI design makes the web framework interface uniform. WSGI combines applications with server

Today I'm going to add a timed task to my Django application to perform some periodic checks, so I thought of using the Django-crontab plugin to meet my needs, and here's how to use this plugin. First install the Django-crontab plug-in using PIP Pip Install Django-crontab Create scripts and methods to be executed on a regular basis, assuming that the script name is cron.py, which reads as follows: #!/usr/b

single-threaded multi-timer tasks 1. Initial version: Train of thought: Timer, plainly is the delay to execute the specified program, the current self-reconfigurable python inside the timer is not too realistic, the ability to reach, so the delay operation also need to use the system timer, but we can change the rules; Add all the programs that you want to schedule to a specific list, Take out the shortest

,current_count)3. Modify its authority accordinglychmod a+x/home/hadoop/wc/mapper.pychmod a+x/home/hadoop/wc/reducer.py4. Test run code on this machine5. View running Results2. Using MapReduce to process meteorological data setsWrite a program to find the highest minimum temperature per day with the highest minimum temperature The meteorological data set is: FTP://FTP.NCDC.NOAA.GOV/PUB/DATA/NOAA Download data for different year months by

, mainly using the language for data analysis and backend services. At the back end, a large number of services are communicated through 0MQ (ZeroMQ), an open-source network library and framework written in Python and C + + (and other languages). The reason for writing in Python is that Spotify likes to be simple and efficient when it comes to

organizations such as Lawrence Livermore. NASA uses it to process tasks originally used in C ++, Fortran, or Matlab. PandasPandas provides a quick and convenient way to process a large number of structured data structures and functions. MatplotlibMatplotlib is the most popular Python library for drawing data charts. IPythonIPython is an enhanced Python She

. -mod_wsgi-4.4. +Pi python-2.7.Ten.Tar[[Email protected]192.168.33.10] Out:httpd-2.4. -.Tar. GZ mod_wsgi-4.4. +.Tar. GZ python-2.7.Ten[[Email protected]192.168.33.10] out:Done.Disconnecting from [email protected]192.168.33.10... Done.OK, you do not need to enter the password manually (the client's private key exists /users/(username)/.ssh/vagrantid_rsa)#尝试 4Write the key storage path in the fabfile.py, and

A machine learning tutorial using Python to implement Bayesian classifier from scratch, python bayesian The naive Bayes algorithm is simple and efficient. It is one of the first methods to deal with classification issues. In this tutorial, you will learn the principles of the naive Bayes algorithm and the gradual implementation of the

calculation of cell data, Python is a fun toy at best in Gnumeric, but Python plug-ins are much more than that, and Python can control the data that reads and writes the range of cells, accesses all the functions of the Gnumeric, Control the creation of worksheets, and so on, these functions can be combined organically to complete complex

Tutorial on using Python scripts to operate tables under Gnumeric, gnumericpython About Gnumeric Gnumeric is a powerful and easy-to-use spreadsheet software on the linux platform. It is consistent with other commonly used spreadsheet software such as Excel in terms of style. Gnumeric's current stable version is 1.2.13, and its support for Chinese characters is quite mature. According to official information

libraries will be your friends. NumPy and SciPy extend Python's mathematical functions to greatly improve your work efficiency. BeautifulSoup As its name suggests, BeautifulSoup is indeed very elegant. If you need to parse an HTML page to obtain some information, you should know that this is very annoying. BeautifulSoup is used to do these tasks for you and save time. It is strongly recommended. Python Ima