Identifiers

Python Keywords 

Every programming language has special reticent words, or keywords, that have specific meanings and restrictions around how they should be used. Python is no different. Python keywords are the abecedarian structure blocks of any Python program.

In this composition, you ’ll find a introductory preface to all Python keywords along with other coffers that will be helpful for learning further about each keyword.


                      
Python keywords are special reserved words that have specific meanings and purposes and can’t be used for anything but those specific purposes. These keywords are always available—you’ll never have to import them into your code.

Python keywords are different from Python’s built-in functions and types. The built-in functions and types are also always available, but they aren’t as restrictive as the keywords in their usage.

An example of something you can’t do with Python keywords is assign something to them. If you try, then you’ll get a SyntaxError. You won’t get a SyntaxError if you try to assign something to a built-in function or type, but it still isn’t a good idea. For a more in-depth explanation of ways keywords can be misused, check out Invalid Syntax in Python: Common Reasons for SyntaxError.

s of Python 3.8, there are thirty-five keywords in Python. Here they are with links to the relevant sections throughout the rest of this article:

Falseawaitelseimportpass
Nonebreakexceptinraise
Trueclassfinallyisreturn
andcontinueforlambdatry
asdeffromnonlocalwhile
assertdelglobalnotwith
asyncelififoryield

You can use these links to jump to the keywords you’d like to read about, or you can continue reading for a guided tour.If you want to learn keywords and identifiers in python, then visit us on InsideAIML.



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