Generator: A function that contains the keyword of yield is a generator.How the Generator works: When the function is called, the function stops when it runs to yield, the return value, and the next time the yield is executed, the local variable or
The file structure is as followspython_directory/__init__.pyapp __init__.py sub1 __init__.py mod1.py sub2 __init__.py mod2.pyIn addition to mod1.py, the contents of other files are empty.mod1.pyprint('__name__:
#元组的声明A = (1,2,3,4) #第一种Print type (a)A = 1,2,3,4 #第二种Print type (a)#元组的基本操作 Find, slice, sum "tuples are immutable sequences and do not support in-situ changes"#查找A = (1,2,3,4)A[1]OUT[13]: 2#切片A = (1,2,3,4)A[:3]OUT[14]: (1, 2, 3)#求和A =b =
#!/bin/pythonImport Paramiko Installing the remote moduleHost= ' 192.168.4.254 ' requires remote hostSSH = Paramiko. Sshclient ()Ssh.set_missing_host_key_policy (Paramiko. Autoaddpolicy ()) automatically resolves the steps to enter yes for the first
Class My (object): def __init__ (self, Name, skill): Self.name = Name Self.skill = Skill Self.cry () Def cry (self): # instance method, which must be instantiated before it can be called Print ('%s ' is crying ... '
Why to detach from front and back:A, because the front-end it has its own framework, so that its efficiency is very highb, do not do before and after the end of separation, if the company has both client, and the app in this case you write two
Django middleware workflow and writing example code, django Middleware
Those familiar with web development are certainly familiar with hook hooks. They can easily implement some triggers and callbacks and perform some filtering and
TensorFlow implements reverse propagation.
One advantage of TensorFlow is that it can maintain the operational status and automatically update model variables based on reverse propagation.TensorFlow updates the variable by calculating the graph and
Python 12306 train ticket grabbing script, python12306
The example in this article shares the code for getting a train ticket from Python 12306 for your reference. The details are as follows:
#-*-Coding: UTF-8-*-from splinter. browser import
Python bytecode and python bytecode
Python is inefficient at repeatedly splicing immutable sequences because a new object is generated each time. The interpreter needs to copy the elements in the original object to the new object first, then, add
Python OpenCV learning notes implement two-dimensional histogram, pythonopencv
This article describes how to implement a two-dimensional histogram using python OpenCV learning notes. The details are as follows:
Documents-https://docs.opencv.org/3.4.0
Python implements the Adapter mode instance code, pythonadapter
This article focuses on the implementation of the Adapter mode in python. The specific implementation code is as follows.
The Adapter mode can be implemented in two ways: class mode.
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13. multi-process multiprocessing, process pool, and multiprocessingContent:
Multiprocessing:
Process Creation and running
Common process functions
Process pool:
Why is there a process pool?
Process pool creation and running: Serial and
No. 1: The Path to python and No. 1 python
Introduction
AI is getting closer and closer to life. Here we will record the process of self-learning python and tensorflow. Programming IDE: visual studio 2017, python 3.6.3, and tensorflow
Django rest_Framework (3) of Python ),Supplement:
Why is frontend and backend separation required:
A. Because the front-end has its own framework, the efficiency is very high.
B. Do not separate the front and back ends. If the company has both
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