Python commonly used libraries-Python Tutorial-php.cn

Home

Backend Development

Python Tutorial

Python commonly used libraries

高洛峰

Nov 23, 2016 pm 01:12 PM

python

GUI graphical interface

1.wxpython

The GUI programming framework under Python is similar to the architecture of MFC

Download address: http://wxpython.org/download.php

2. PyQt

for Python QT development library

Download address: http://www.riverbankcomputing.com/software/pyqt/download

Web framework

1. Django

open source web development framework, which encourages rapid development and follows MVC design

Download address: http://www.djangoproject.com/

2. web2py

A small and flexible Web framework, simple but powerful

Download address: http://web2py.com/

Scientific computing

1. Matplotlib

A matlab-like third-party library implemented in Python, used to draw some high-quality mathematical two-dimensional graphics

Download address:

http://sourceforge.net/projects/matplotlib/files/matplotlib /matplotlib-1.1.0/

2. SciPy

A matlab implementation based on Python, designed to realize all the functions of matlab

Download address: http://pypi.python.org/pypi/scipy/

3. NumPy

A third-party library for scientific computing based on Python, providing solutions for matrices, linear algebra, Fourier transform, etc.

Download address: http://pypi.python.org/pypi/numpy/

Web page processing

1. BeautifulSoup, powerful fault-tolerant function

A very powerful package for web page processing

http://www.crummy.com/software/BeautifulSoup/

2. PyQuery, which processes documents in Python like jQuery on web pages

Download: https://pypi.python.org/pypi/pyquery

Documentation: https://pythonhosted.org/pyquery/

Others

1. MySQLdb

used to connect to MySQL database

Download Address: http://pypi.python.org/pypi/MySQL-python/

2. PIL

An image processing library based on Python, with powerful functions and wide support for graphic file formats

Download address: http:/ /effbot.org/zone/pil-index.htm

3. PyGame

Python-based multimedia development and game software development module

Download address: http://www.pygame.org/download.shtml

4 .sh system management

sh allows you to execute shell terminal commands like functions

Download address: https://pypi.python.org/pypi/sh

5. pickle (cPickle)

6. json

7. random

8. datetime

Special introduction

1. cx_Freeze

Convenient and simple packaging tool, cross-platform!

Download address: http://cx-freeze.sourceforge.net/

2. The execution efficiency of the psyco

script is somewhat unsatisfactory. Although it is not difficult to optimize, if there is a simple method, there is almost no need to modify the source. code, it's certainly worth paying attention to. The magic of psyco is that it only needs to call just two lines of code at the entrance of the code, and the performance can be improved by 40% or more. It can be said to be an immediate effect!

If your customer thinks your program is a bit slow, please don't rush to optimize the code. psyco may make him change his mind immediately. psyco can be called Python's JIT. It has a lot of potential that can be tapped. If there is not much time left for you to optimize performance, please read its manual immediately. There are many tricks to easily optimize performance.

The above are some commonly used third-party libraries

For more information, please click: http://pypi.python.org/pypi

Other recommendations:

http://www.zhihu.com/ question/20501628

http://blog.csdn.net/sasoritattoo/article/details/9381361

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Merging Lists in Python: Choosing the Right MethodMay 14, 2025 am 12:11 AM

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

How to concatenate two lists in python 3?May 14, 2025 am 12:09 AM

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Python concatenate list stringsMay 14, 2025 am 12:08 AM

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

Python execution, what is that?May 14, 2025 am 12:06 AM

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Python: what are the key featuresMay 14, 2025 am 12:02 AM

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python: compiler or Interpreter?May 13, 2025 am 12:10 AM

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Python For Loop vs While Loop: When to Use Which?May 13, 2025 am 12:07 AM

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Python loops: The most common errorsMay 13, 2025 am 12:07 AM

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

See all articles