#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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[NitinJainNoida]

Know what is the difference between filter, reduce and map:

map: Takes a function f, and a list L1, and returns a list L2 obtained by applying f to every element of L1. Say f is a function that takes x and returns 2x. Then, map(f, [1, 2, 3, 4]) returns [2, 4, 6, 8].

reduce: Takes a binary operator f, a list L and a seed value (or identity element). It returns the seed value if the list is empty. Otherwise, it applies the binary operator f to the seed and first element of L, then applies f to the result of this and the 2nd element of L, and so on till L is exhausted. The result is returned. This can be seen as a generalization of factorial function.

filter: Takes a boolean function f and a list L1. It applies the function to each element of L1, and list of those elements that give true is returned.
#insmot

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