Whitespace is important in Python. In fact, the white space at the beginning of the line is important. It's called indentation. The whitespace (spaces and tabs) at the beginning of a logical line is used to determine the indentation level of the logical line, and thus the grouping of statements. This means that statements at the same level must have the same indentation. Each group of such statements is called a block. So indentation is mandatory
How to indent
Don’t mix tabs and spaces for indentation because this It doesn't work properly when crossing different platforms. I strongly recommend that you use a single tab or two or four spaces at each indentation level.
Choose one of these three indentation styles. More importantly, choose a style and use it consistently, that is, only use that one style.
Python's indentation should be an advantage. It may not be very accustomed to you at first, but you will get used to it slowly!
When you look at other people's Python code, you will deeply feel the benefits of indentation.
In addition, Python's indentation can prevent a large amount of code from stacking together to a certain extent, objectively promoting the formation of a good coding style
Py's philosophy is different from Perl/ruby. It won't give you many functions, and then warns you that it's better not to use this and this, and you should pay attention to that. It believes that whatever it provides you is for your use, and you can use it however you want as long as it conforms to its grammatical specifications. If you can write bad code, there's something wrong with the design. This is a responsible attitude.
{} can allow programmers to write bad code, which is inconsistent with Py's philosophy. Therefore, Py is designed to use indentation instead of {} to represent program blocks.
There is nothing wrong with this, in most cases the indentation is clearer than {}.
Example:
One thing you need to remember is that incorrect indentation will cause errors
i = 5 print 'Value is', i # Error! Notice a single space at the start of the line print 'I repeat, the value is', i
When you run this program, You will get the following error:
File "whitespace.py", line 4 print 'Value is', i # Error! Notice a single space at the start of the line ^ SyntaxError: invalid syntax
The above is the detailed content of Is indentation mandatory in Python?. For more information, please follow other related articles on the PHP Chinese website!

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

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.

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

The impact of homogeneity of arrays on performance is dual: 1) Homogeneity allows the compiler to optimize memory access and improve performance; 2) but limits type diversity, which may lead to inefficiency. In short, choosing the right data structure is crucial.

TocraftexecutablePythonscripts,followthesebestpractices:1)Addashebangline(#!/usr/bin/envpython3)tomakethescriptexecutable.2)Setpermissionswithchmod xyour_script.py.3)Organizewithacleardocstringanduseifname=="__main__":formainfunctionality.4

NumPyarraysarebetterfornumericaloperationsandmulti-dimensionaldata,whilethearraymoduleissuitableforbasic,memory-efficientarrays.1)NumPyexcelsinperformanceandfunctionalityforlargedatasetsandcomplexoperations.2)Thearraymoduleismorememory-efficientandfa

NumPyarraysarebetterforheavynumericalcomputing,whilethearraymoduleismoresuitableformemory-constrainedprojectswithsimpledatatypes.1)NumPyarraysofferversatilityandperformanceforlargedatasetsandcomplexoperations.2)Thearraymoduleislightweightandmemory-ef

ctypesallowscreatingandmanipulatingC-stylearraysinPython.1)UsectypestointerfacewithClibrariesforperformance.2)CreateC-stylearraysfornumericalcomputations.3)PassarraystoCfunctionsforefficientoperations.However,becautiousofmemorymanagement,performanceo


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

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.

Dreamweaver CS6
Visual web development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 Linux new version
SublimeText3 Linux latest version

SublimeText3 Mac version
God-level code editing software (SublimeText3)
