#43 Python Tutorial for Beginners | Filter Map Reduce

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In this lecture we will learn:
– Filter Map and Reduce in Python
– Use of filter(), map() and reduce() functions
– How lambda function can be used with filter map and reduce
– Syntax of Filter, Map and reduce function
– Difference between filter(), map() and reduce() functions

#1
– Lambda function can be used with these three functions:
1. filter()
2. map()
3. reduce()

#2
– filter() function will take a list and do filtering and give values.
– filter() takes a sequence and also returns a sequence.
– filter() function takes two arguments: function and iterable.
filter(func, iterable)
– We have to give the definition of a function that we have passed as a condition in an argument.
– The defined function should return a value of either True or False based on the condition.
– Then, filter() will take the value that is returned by the defined function and does perform filtering based on this value.
– In the defined function, we need only two things i.e, a variable and an expression. So, we can also use the lambda function instead of using the normal function to define the condition for a filter.
-Lambda reduces the number of lines of code and makes it more precise.
– Filter() simply returns the iterable passed to it.

#3
– map() function is used when we want to change the value of every element of a list.
– map() function also takes two arguments i.e., a function and an iterable.
map(func, *iterables)
– To get the result as a list, the built-in list() function can be called on the map object.
– We have to define a function that we have passed as a condition in an argument.
– The defined function should return any value.
– The lambda function can also be used in an argument as a function instead of defining the normal function for the logic.
– map() function returns a list. The function returns a map object which is a generator object.

#4
– reduce() function is used to reduce the number of values from a list.
– reduce() function belongs to a module known as functools.
– We have to import the module functools from the library to use the reduce function.
– reduce() also take two arguments i.e., a function and a sequence.
reduce(func, iterable[, initial])
– We have to give the definition of a function that we have passed as a condition in an argument.
– The lambda function can also be used in an argument as a function instead of defining the normal function for the logic.

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