most useful python modules

One, module conceptIn the process of computer program development, as the program code more write more, in a file code will be more and more long, more and more difficult to maintain. In order to make the code easier to maintain, we grouped many functions into separate files so that each file contained a relatively reduced number of codes. Many programming languages use this form of organization code. In Python, a. py file is called a module. What ar

One, NumPy moduleThe NumPy (Numeric python) module is an open-source computational extension of Python. This tool can be used to store and manipulate large matrices, which is much more efficient than Python's own nested list (nested list structure) structure, which is also useful for representing matrices (matrix). It is said that NumPy

due to the low Python version of REDHAT5, many new third-party python packages and new features are not available, so you need to upgrade your system to include Python versions, plan to upgrade to python2.7.4, and integrate with some of the most common third-party modules in your business.

Gy ez"So, since the module has been successfully imported, the X variable should have a definition, why does it prompt "name ' x ' is not defined"?This is because: in order to avoid everyone's same programming habits caused by a variety of variable coverage (such as Zhang San and John Doe is assigned to write two different modules, Zhang San habit of using X in his variables, John Doe is also accustomed to this, then when two

Python full-stack Development 7. Module and several common modules and format knowledge supplement, pythonformatI. Module Classification One of the reasons for the popularity of Python is that it has a large number of third-party modules, so we don't have to re-create the wheel from scratch when writing code. Many of t

First, what is the moduleA module is a way to organize your code, and a package is the way you organize your modules.Common scenario: A module is a file that contains Python definitions and declarations, and the file name is the suffix of the module name plus the. Py.In fact, the import loaded module is divided into four general categories:1 code written using Python (. py file)2 C or C + + extensions that

I. Definition of the moduledefinitionThe Python module, which is a python file that ends with a. Py, contains Python object definitions and Python statements. Modules allow you to logically organize your Python code snippets and a

Most of the system interfaces in Python are concentrated in two modules: SYS and OS. That's a little simplistic. There are also other table-to-module modules that fall into this area. They include:Glob Extensions for file namesSocket for network connection and interprocess communication (IPC)Threading,_threading,queue for running and synchronizing session concurr

Python module installationOne, single file moduleCopy the file directly to the $python _dir/libTwo, multi-file module, with setup.pyPython setup.py InstallThird, egg file1) Download ez_setup.py, run Python ez_setup2) Easy_install *.eggNote: Although Python modules can be cop

OS modules are commonly used in development, and here are some common operations for OS modules, with code backup:defosopt ():Try: #Delete the specified fileOs.remove ('D:\\selfwork\\python\\testdir\\file1.txt') except: Print('failed to delete the specified file! ') Try: #Renaming a specified fileOs.rename ('D:\\selfwork\\

This article brings the content is about Python in NumPy and Pandas module detailed introduction (with the example), has certain reference value, has the need friend can refer to, hoped to be helpful to you. This chapter learns the two most important modules of the two scientific operations, one is numpy , the other is pandas . There are two of them in any module on data analysis. First, NumPy Pandas Fea

The OS modules in the Python standard library contain common operating system features. This module is especially important if you want your program to be platform-agnostic. That is, it allows a program to be written without any changes or problems, and can be run under Linux and Windows.Some of the more useful parts of the OS module are listed below. Most of the

This article discusses Python's from Import * and from Import *, how they execute and why using this syntax (perhaps) is a bad idea. import all from one module from import * means means "I want to have access to all the names I have access to." For example, the following code something.py: # something.py public_variable = 42_private_variable = 141 def public_function (): print ("I ' m a public function! yay! ") Def _privat

()) 61976ec704dbce25ccb37ecacef1e4d6##如果数据量很大, you can call Update () multiple times in chunks, and the result is the same as the final calculation>>>ImportHashlib>>> MD5 =hashlib.md5 ()>>> Md5.update (b' Love')>>> Md5.update (b'Fly')>>>Print(Md5.hexdigest ()) 61976ec704dbce25ccb37ecacef1e4d64, collectionsOllections is a python built-in collection module that provides a number of useful collection classes

Document directory Urllib2 Requests This is the urllib2 method: Requests Ref: http://dancallahan.info/journal/python-requests/ Title: Useful Python Module It is unnecessary to use python in HTTP-related processing, including the urllib2 module to obtain comprehensive functions at a huge cost of complexity. Com

() ————————————————————————————————————————————————#如果功能太多的话, write not very realistic, generally use * instead of all functions#注意, because some features are useful, some features are not commonly used, all module designers use __all__ to put the common functions in it, * can only invoke common functions__all__=[' money ', ' Read1 ') # from: Import *From ... import *From spam import * #调用spam模块内所有可以被 * function calledPrint (Money)Print (READ1)Print