search
HomeBackend DevelopmentPython TutorialShort-Circuit in Python's Compound Conditional Expressions

This article explains how Python’s short-circuit evaluation in compound conditional expressions enhances efficiency by stopping the evaluation as soon as the outcome is determined.


To understand the concept of short-circuiting in compound conditional expressions in Python, it is important to be familiar with the logical operators 'and' and 'or'. The table below summarizes the logical outcomes for these operators.

Table 1
The ‘and’ and ‘or’ Operators
Short-Circuit in Python’s Compound Conditional Expressions
Note: From Module 3: Understanding Python decision control structure, ITS320: Basic Programming, by Colorado State University Global, 2024. Modified 2024, February 25.

In Python, short-circuiting in the context of compounded conditional expressions is when the interpreter stops evaluating a logical expression as soon as the logical expression outcome is determined (Severance, 2016).

In other words, when in the process of reading a logical expression, if the interpreter can determine the outcome of the expression before reaching the end of it, it would stop reading the expression.Note: the interpreter reads from left to right.

This occurs when using the operators ‘and’ and ‘or’ in an expression. This is called a short-circuit boolean evaluation. (Hrehirchuk et al, 2024)

For example:

When using the ‘and’ operator:

a = 1
b = 2
c = 3
d = 4
if a  c and a 



<p>Here the short-circuiting happens when the Python interpreter stops evaluating the logical expression a  c and a  c because a > c returns False. Consequently, the expression a  c and a False, it does not matter if the expression a False or <strong>True</strong>.</p>

<p><strong>When using the ‘or’ operator:</strong><br>
</p>

<pre class="brush:php;toolbar:false">a = 1
b = 2
c = 3
d = 4

 if a > b or a  d:
            #--- Do something

Here the short-circuiting happens when the Python interpreter stops evaluating the logical expression a > b or a d at step a b or a d is True, it does not matter if the expression a> d returns False or True.

When using a combination of 'and' and 'or' logical operators, the and operator has precedent over the or operator. This is similar to the arithmetic operator precedence between ‘ ’ and ‘’, where ‘’ has precedence over ‘ ’.The table below depicts the logical operators’ precedence utilizing parentheses.

Table 2
Precedence of Logical Operators
Short-Circuit in Python’s Compound Conditional Expressions

Note: from Chapter 40 Boolean Expressions and Short-Circuit Operators — Precedence of Logical Operators, by Kjell, n.d. Modified 2024, February 25.

In conclusion, short-circuiting occurs when the logical operators and and or determine when the Python interpreter stops evaluating an expression once the outcome is clear. For example, when the operator 'and' is used it stops the evaluation at the first False and when the operator 'or' is used it stops at the first True, this enhances efficiency. Therefore, understanding short-circuit evaluation in Python is crucial for writing efficient and effective conditional expressions.


References:

Colorado State University Global (2024). Module 3: Understanding Python decision control structure, ITS320: Basic Programming. https://csuglobal.instructure.com/courses/88479/pages/module-3-overview?module_item_id=4620787

Hrehirchuk, M., Chalmers, E., Curtis, C., & Perri, P. (2024, January 30). 5.11 Short-circuit evaluation. Foun-dations of Python programming: Functions first. Runestone Acade-my. https://runestone.academy/ns/books/published/foppff/conditionals_short-circuit-evaluation.htmlLinks to an external site.

Kjell, B.(n.d.). Chapter 40 Boolean expressions and short-circuit operators. Precedence of logi-cal operators. Introduction to computer science using Java. Central Connecticut State Universi-ty. https://chortle.ccsu.edu/java5/Notes/chap40/ch40_16.htmlLinks to an external site.

Severance, C. (2016, July 5). 4.8. Short-circuit evaluation of logical expressions._ Python for every-body-interactive_. Runestone Academy. https://runestone.academy/ns/books/published/py4e-int/conditional/shortCircuit.html

__

Originally published at Short-Circuit in Python’s Compound Conditional Expressions - Medium on August 19, 2024.

The above is the detailed content of Short-Circuit in Python's Compound Conditional Expressions. For more information, please follow other related articles on the PHP Chinese website!

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
Explain the performance differences in element-wise operations between lists and arrays.Explain the performance differences in element-wise operations between lists and arrays.May 06, 2025 am 12:15 AM

Arraysarebetterforelement-wiseoperationsduetofasteraccessandoptimizedimplementations.1)Arrayshavecontiguousmemoryfordirectaccess,enhancingperformance.2)Listsareflexiblebutslowerduetopotentialdynamicresizing.3)Forlargedatasets,arrays,especiallywithlib

How can you perform mathematical operations on entire NumPy arrays efficiently?How can you perform mathematical operations on entire NumPy arrays efficiently?May 06, 2025 am 12:15 AM

Mathematical operations of the entire array in NumPy can be efficiently implemented through vectorized operations. 1) Use simple operators such as addition (arr 2) to perform operations on arrays. 2) NumPy uses the underlying C language library, which improves the computing speed. 3) You can perform complex operations such as multiplication, division, and exponents. 4) Pay attention to broadcast operations to ensure that the array shape is compatible. 5) Using NumPy functions such as np.sum() can significantly improve performance.

How do you insert elements into a Python array?How do you insert elements into a Python array?May 06, 2025 am 12:14 AM

In Python, there are two main methods for inserting elements into a list: 1) Using the insert(index, value) method, you can insert elements at the specified index, but inserting at the beginning of a large list is inefficient; 2) Using the append(value) method, add elements at the end of the list, which is highly efficient. For large lists, it is recommended to use append() or consider using deque or NumPy arrays to optimize performance.

How can you make a Python script executable on both Unix and Windows?How can you make a Python script executable on both Unix and Windows?May 06, 2025 am 12:13 AM

TomakeaPythonscriptexecutableonbothUnixandWindows:1)Addashebangline(#!/usr/bin/envpython3)andusechmod xtomakeitexecutableonUnix.2)OnWindows,ensurePythonisinstalledandassociatedwith.pyfiles,oruseabatchfile(run.bat)torunthescript.

What should you check if you get a 'command not found' error when trying to run a script?What should you check if you get a 'command not found' error when trying to run a script?May 06, 2025 am 12:03 AM

When encountering a "commandnotfound" error, the following points should be checked: 1. Confirm that the script exists and the path is correct; 2. Check file permissions and use chmod to add execution permissions if necessary; 3. Make sure the script interpreter is installed and in PATH; 4. Verify that the shebang line at the beginning of the script is correct. Doing so can effectively solve the script operation problem and ensure the coding process is smooth.

Why are arrays generally more memory-efficient than lists for storing numerical data?Why are arrays generally more memory-efficient than lists for storing numerical data?May 05, 2025 am 12:15 AM

Arraysaregenerallymorememory-efficientthanlistsforstoringnumericaldataduetotheirfixed-sizenatureanddirectmemoryaccess.1)Arraysstoreelementsinacontiguousblock,reducingoverheadfrompointersormetadata.2)Lists,oftenimplementedasdynamicarraysorlinkedstruct

How can you convert a Python list to a Python array?How can you convert a Python list to a Python array?May 05, 2025 am 12:10 AM

ToconvertaPythonlisttoanarray,usethearraymodule:1)Importthearraymodule,2)Createalist,3)Usearray(typecode,list)toconvertit,specifyingthetypecodelike'i'forintegers.Thisconversionoptimizesmemoryusageforhomogeneousdata,enhancingperformanceinnumericalcomp

Can you store different data types in the same Python list? Give an example.Can you store different data types in the same Python list? Give an example.May 05, 2025 am 12:10 AM

Python lists can store different types of data. The example list contains integers, strings, floating point numbers, booleans, nested lists, and dictionaries. List flexibility is valuable in data processing and prototyping, but it needs to be used with caution to ensure the readability and maintainability of the code.

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

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

EditPlus Chinese cracked version

EditPlus Chinese cracked version

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