search
HomeBackend DevelopmentPython TutorialPython背景色与语法高亮主题配置

使用python idle的人恐怕都无法忍受默认的白色背景,及其语法高亮主题。

大家更倾向于使用黑色背景。

下面介绍Obsidian, Desert, 和Tango三种主题配置

在 用户目录 的.idlerc 目录下新建名为 config-highlight.cfg 文件,并加入如下内容

<code class="hljs cs">[tango]
definition-foreground = #fce94f
error-foreground = #fa8072
string-background = #2e3436
keyword-foreground = #8cc4ff
normal-foreground = #ffffff
comment-background = #2e3436
hit-foreground = #ffffff
break-foreground = #000000
builtin-background = #2e3436
stdout-foreground = #eeeeec
cursor-foreground = #fce94f
hit-background = #2e3436
comment-foreground = #73d216
hilite-background = #edd400
definition-background = #2e3436
stderr-background = #2e3436
break-background = #2e3436
console-foreground = #87ceeb
normal-background = #2e3436
builtin-foreground = #ad7fa8
stdout-background = #2e3436
console-background = #2e3436
stderr-foreground = #ff3e40
keyword-background = #2e3436
string-foreground = #e9b96e
hilite-foreground = #2e3436
error-background = #2e3436

[desert]
definition-foreground = #98fb98
error-foreground = #ff0000
string-background = #333333
keyword-foreground = #cc6600
normal-foreground = #f0e68c
comment-background = #333333
hit-foreground = #ffffff
break-foreground = black
builtin-background = #333333
stdout-foreground = #eeeeee
cursor-foreground = #ffcc00
hit-background = #333333
comment-foreground = #87ceeb
hilite-background = gray
definition-background = #333333
stderr-background = #333333
break-background = #ffff55
console-foreground = #87ceeb
normal-background = #333333
builtin-foreground = #519e51
stdout-background = #333333
console-background = #333333
stderr-foreground = #ff3e40
keyword-background = #333333
string-foreground = #ffa0a0
hilite-foreground = #000000
error-background = #000000

[Obsidian]
definition-foreground = #678CB1
error-foreground = #FF0000
string-background = #293134
keyword-foreground = #93C763
normal-foreground = #E0E2E4
comment-background = #293134
hit-foreground = #E0E2E4
builtin-background = #293134
stdout-foreground = #678CB1
cursor-foreground = #E0E2E4
break-background = #293134
comment-foreground = #66747B
hilite-background = #2F393C
hilite-foreground = #E0E2E4
definition-background = #293134
stderr-background = #293134
hit-background = #000000
console-foreground = #E0E2E4
normal-background = #293134
builtin-foreground = #E0E2E4
stdout-background = #293134
console-background = #293134
stderr-foreground = #FB0000
keyword-background = #293134
string-foreground = #EC7600
break-foreground = #E0E2E4
error-background = #293134</code>
重启IDLE,依次选 Options -> Configure IDLE -> Highlighting 如下图

<img src="/static/imghwm/default1.png" data-src="http://img.bitscn.com/upimg/allimg/c150724/143M0Y35921Z-1L41.jpg" class="lazy" alt="这里写图片描述" title="">

 

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
What are some common operations that can be performed on Python arrays?What are some common operations that can be performed on Python arrays?Apr 26, 2025 am 12:22 AM

Pythonarrayssupportvariousoperations:1)Slicingextractssubsets,2)Appending/Extendingaddselements,3)Insertingplaceselementsatspecificpositions,4)Removingdeleteselements,5)Sorting/Reversingchangesorder,and6)Listcomprehensionscreatenewlistsbasedonexistin

In what types of applications are NumPy arrays commonly used?In what types of applications are NumPy arrays commonly used?Apr 26, 2025 am 12:13 AM

NumPyarraysareessentialforapplicationsrequiringefficientnumericalcomputationsanddatamanipulation.Theyarecrucialindatascience,machinelearning,physics,engineering,andfinanceduetotheirabilitytohandlelarge-scaledataefficiently.Forexample,infinancialanaly

When would you choose to use an array over a list in Python?When would you choose to use an array over a list in Python?Apr 26, 2025 am 12:12 AM

Useanarray.arrayoveralistinPythonwhendealingwithhomogeneousdata,performance-criticalcode,orinterfacingwithCcode.1)HomogeneousData:Arrayssavememorywithtypedelements.2)Performance-CriticalCode:Arraysofferbetterperformancefornumericaloperations.3)Interf

Are all list operations supported by arrays, and vice versa? Why or why not?Are all list operations supported by arrays, and vice versa? Why or why not?Apr 26, 2025 am 12:05 AM

No,notalllistoperationsaresupportedbyarrays,andviceversa.1)Arraysdonotsupportdynamicoperationslikeappendorinsertwithoutresizing,whichimpactsperformance.2)Listsdonotguaranteeconstanttimecomplexityfordirectaccesslikearraysdo.

How do you access elements in a Python list?How do you access elements in a Python list?Apr 26, 2025 am 12:03 AM

ToaccesselementsinaPythonlist,useindexing,negativeindexing,slicing,oriteration.1)Indexingstartsat0.2)Negativeindexingaccessesfromtheend.3)Slicingextractsportions.4)Iterationusesforloopsorenumerate.AlwayschecklistlengthtoavoidIndexError.

How are arrays used in scientific computing with Python?How are arrays used in scientific computing with Python?Apr 25, 2025 am 12:28 AM

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

How do you handle different Python versions on the same system?How do you handle different Python versions on the same system?Apr 25, 2025 am 12:24 AM

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

What are some advantages of using NumPy arrays over standard Python arrays?What are some advantages of using NumPy arrays over standard Python arrays?Apr 25, 2025 am 12:21 AM

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!