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Predict the output of following python programs

Explanation :
In the above program r and s are lambda functions or anonymous functions and q is the argument to both of the functions. In first step we have initialized x to 2. In second step we have passed x as argument to the lambda function r, this will return x*2 which is stored in x. That is, x = 4 now. Similarly in third step we have passed x to lambda function s, So x = 4*3. i.e, x = 12 now. Again in the last step, x is multiplied by 2 by passing it to function r. Therefore, x = 24.


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lambda Function :-
The lambda keyword in Python provides a shortcut for declaring small anonymous functions. Lambda functions behave just like regular functions declared with the def keyword. They can be used whenever function objects are required.

Conceptually the lambda expression lambda x, y: x + y is the same as declaring a function with def, just written inline. The difference is I didn’t bind it to a name like add before I used it. I simply stated the expression I wanted to compute and then immediately evaluated it by calling it like a regular function.

Before you move on, you might want to play with the previous code example a little to really let the meaning of it sink in. I still remember this took me a while to wrap my head around. So don’t worry about spending a few minutes in an interpreter session.

There’s another syntactic difference between lambdas and regular function definitions: Lambda functions are restricted to a single expression. This means a lambda function can’t use statements or annotations—not even a return statement.

How do you return values from lambdas then? Executing a lambda function evaluates its expression and then automatically returns its result. So there’s always an implicit return statement. That’s why some people refer to lambdas as single expression functions.

Lambdas You Can Use
When should you use lambda functions in your code? Technically, any time you’re expected to supply a function object you can use a lambda expression. And because a lambda expression can be anonymous, you don’t even need to assign it to a name.

This can provide a handy and “unbureaucratic” shortcut to defining a function in Python. My most frequent use case for lambdas is writing short and concise key funcs for sorting iterables by an alternate key:


Real Python

Python Keywords: An Introduction
Python Keywords: An Introduction
by Chad Hansen 1 Comment basics python
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Table of Contents

Python Keywords
How to Identify Python Keywords
Use an IDE With Syntax Highlighting
Use Code in a REPL to Check Keywords
Look for a SyntaxError
Python Keywords and Their Usage
Value Keywords: True, False, None
Operator Keywords: and, or, not, in, is
Control Flow Keywords: if, elif, else
Iteration Keywords: for, while, break, continue, else
Structure Keywords: def, class, with, as, pass, lambda
Returning Keywords: return, yield
Import Keywords: import, from, as
Exception-Handling Keywords: try, except, raise, finally, else, assert
Asynchronous Programming Keywords: async, await
Variable Handling Keywords: del, global, nonlocal
Deprecated Python Keywords
The Former print Keyword
The Former exec Keyword
Conclusion
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Every programming language has special reserved words, or keywords, that have specific meanings and restrictions around how they should be used. Python is no different. Python keywords are the fundamental building blocks of any Python program.

In this article, you’ll find a basic introduction to all Python keywords along with other resources that will be helpful for learning more about each keywords

Identify Python keywords
Understand what each keyword is used for
Work with keywords programmatically using the keyword
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.

As 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:

False await else import pass
None break except in raise
True class finally is return
and continue for lambda try
as def from nonlocal while
assert del global not with
async elif if or yield