


Python uses the re module to regularly extract the content within brackets in the string
This article mainly introduces Python's use of the re module to regularly extract the content within brackets in a string. It analyzes Python's use of the re module to perform regular matching operations on the content of brackets in the form of examples, and briefly explains the relevant modifiers and regular expressions. For the usage of the statement, friends who need it can refer to
. This article describes the use of the re module in Python to extract the content within the brackets in the string. Share it with everyone for your reference, the details are as follows:
Go directly to the code:
# -*- coding:utf-8 -*- #! python2 import re string = 'abe(ac)ad)' p1 = re.compile(r'[(](.*?)[)]', re.S) #最小匹配 p2 = re.compile(r'[(](.*)[)]', re.S) #贪婪匹配 print(re.findall(p1, string)) print(re.findall(p2, string))
##Output :
['ac'] ['ac)ad']
Explanation:
1. The r is added before the regular matching string so that the special symbols inside do not need to be written with backslashes. 2. [ ] has the function of removing special symbols, that is to say, the ( in [(] is just an ordinary bracket 3. The () in the regular matching string is to extract the entire regular expression The content in the string that conforms to the regular expressions in parentheses4. . is used to represent any character except the newline character. *Klin closure, appearing 0 or infinite times.5. Adding? is a minimum match, not adding is a greedy match. 6. re.S is to let . represent any character except the newline character. Related recommendations:Python uses add_subplot and subplot to draw subplot operations
Python uses the cx_Oracle module to operate Oracle database detailed explanation
The above is the detailed content of Python uses the re module to regularly extract the content within brackets in the string. For more information, please follow other related articles on the PHP Chinese website!

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

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.

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.

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

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 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.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

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


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 English version
Recommended: Win version, supports code prompts!

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Atom editor mac version download
The most popular open source editor

Notepad++7.3.1
Easy-to-use and free code editor
