


What Does `if __name__ == '__main__':` Do in Python and Why Is It Important?
What Does name == "__main__": Do and Why Is It Necessary?
When a Python script is executed as the main program, the interpreter assigns the special variable __name__ to "__main__". If the script is imported as a module by another program, __name__ is instead set to the name of the importing module.
To understand why this is important, consider the following example:
# Suppose this is foo.py. print("before import") import math print("before function_a") def function_a(): print("Function A") print("before function_b") def function_b(): print("Function B {}".format(math.sqrt(100))) print("before __name__ guard") if __name__ == '__main__': function_a() function_b() print("after __name__ guard")
Execution Flow:
-
Special Variables Setup:
- name is set to "__main__" since foo.py is run as the main program.
-
Code Execution:
-
The script executes all of its code line by line:
- Prints "before import", loads the math module, etc.
- Defines the functions function_a and function_b.
- The name check is evaluated: since it matches "main", all code within the if block is executed (printing "Function A" and "Function B 10.0").
- The code below the name check is executed (printing "after name__ guard").
-
Importance of name Check:
This check is crucial because:
- Protection from Accidental Invocation: If foo.py doesn't have the name check, importing it as a module would trigger the script to run using the importing script's command line arguments, which is usually undesired.
- Pickle File Issue: If foo.py has custom classes saved to a pickle file, unpickling it in another script would import foo.py and execute its code without the name check, leading to the above issues.
Additional Notes:
- You can have multiple name checks in a script, but it's uncommon.
- Running the script foo2.py with the name checks included results in "a1", "m1", "a2", "b", "a3", "m2", "t2", while removing the name check results in "a1", "a2", "b", "a3", "t2".
- Running foo3.py as a script results in "t1", "a1", "a2", "b", "a3", "t2", while importing it as a module results in nothing being executed.
- Setting __name__ to "__main__" in foo4.py (even when imported as a module) means the script will always run when imported, as __name__ == __main__ will always evaluate to True.
The above is the detailed content of What Does `if __name__ == '__main__':` Do in Python and Why Is It Important?. 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

Zend Studio 13.0.1
Powerful PHP integrated development environment

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Chinese version
Chinese version, very easy to use

SublimeText3 Linux new version
SublimeText3 Linux latest version

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.
