


How to Precisely Remove Substrings from String Endings
In Python, the strip() method may not always yield the expected outcome when trying to remove substrings from string endings. This is because strip() removes characters from both ends of the string based on a specified set of characters, not an entire substring.
Python 3.9 and Newer:
For Python 3.9 and above, the preferred methods are removeprefix and removesuffix:
url = 'abcdc.com' url.removesuffix('.com') # Returns 'abcdc' url.removeprefix('abcdc.') # Returns 'com'
Python 3.8 and Older:
For earlier Python versions, you can use the following methods:
- endswith() and Slicing:
url = 'abcdc.com' if url.endswith('.com'): url = url[:-4]
- Regular Expression:
import re url = 'abcdc.com' url = re.sub('\.com$', '', url)
While the removeprefix and removesuffix methods are the most concise and efficient, all these approaches provide effective ways to precisely remove substrings from string endings in Python.
The above is the detailed content of How to Precisely Remove Substring Endings from Strings in Python?. For more information, please follow other related articles on the PHP Chinese website!

SlicingaPythonlistisdoneusingthesyntaxlist[start:stop:step].Here'showitworks:1)Startistheindexofthefirstelementtoinclude.2)Stopistheindexofthefirstelementtoexclude.3)Stepistheincrementbetweenelements.It'susefulforextractingportionsoflistsandcanuseneg

NumPyallowsforvariousoperationsonarrays:1)Basicarithmeticlikeaddition,subtraction,multiplication,anddivision;2)Advancedoperationssuchasmatrixmultiplication;3)Element-wiseoperationswithoutexplicitloops;4)Arrayindexingandslicingfordatamanipulation;5)Ag

ArraysinPython,particularlythroughNumPyandPandas,areessentialfordataanalysis,offeringspeedandefficiency.1)NumPyarraysenableefficienthandlingoflargedatasetsandcomplexoperationslikemovingaverages.2)PandasextendsNumPy'scapabilitieswithDataFramesforstruc

ListsandNumPyarraysinPythonhavedifferentmemoryfootprints:listsaremoreflexiblebutlessmemory-efficient,whileNumPyarraysareoptimizedfornumericaldata.1)Listsstorereferencestoobjects,withoverheadaround64byteson64-bitsystems.2)NumPyarraysstoredatacontiguou

ToensurePythonscriptsbehavecorrectlyacrossdevelopment,staging,andproduction,usethesestrategies:1)Environmentvariablesforsimplesettings,2)Configurationfilesforcomplexsetups,and3)Dynamicloadingforadaptability.Eachmethodoffersuniquebenefitsandrequiresca

The basic syntax for Python list slicing is list[start:stop:step]. 1.start is the first element index included, 2.stop is the first element index excluded, and 3.step determines the step size between elements. Slices are not only used to extract data, but also to modify and invert lists.

Listsoutperformarraysin:1)dynamicsizingandfrequentinsertions/deletions,2)storingheterogeneousdata,and3)memoryefficiencyforsparsedata,butmayhaveslightperformancecostsincertainoperations.

ToconvertaPythonarraytoalist,usethelist()constructororageneratorexpression.1)Importthearraymoduleandcreateanarray.2)Uselist(arr)or[xforxinarr]toconvertittoalist,consideringperformanceandmemoryefficiencyforlargedatasets.


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 Linux new version
SublimeText3 Linux latest version

SublimeText3 Chinese version
Chinese version, very easy to use

Dreamweaver CS6
Visual web development tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

WebStorm Mac version
Useful JavaScript development tools
