LECTURE 22: LAMBDA , ANONYMOUS , FILTER , MAP , REDUCE FUNCTIONS || HINDI
Lambda Functions:
Lambda functions in Python are small anonymous functions defined using the lambda keyword. They can have any number of arguments but only one expression. They are useful for short, throwaway functions.
Filter Function:
The filter() function is used to create an iterator that contains only the elements of an iterable for which a specified function returns true. It's often used to filter out elements from a list based on a condition.
Map Function:
The map() function applies a given function to all items in an iterable and returns an iterator of the results. It's useful for transforming or processing all elements in a collection.
Reduce Function:
The reduce() function, from the functools module, applies a rolling computation to sequential pairs of values in an iterable, reducing it to a single cumulative value. It's used for aggregating data.
These functions facilitate concise and expressive data processing, enabling functional programming techniques in Python.
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