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Mastering flat_map in Python with List Comprehension

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Introduction In Python, when working with nested lists or iterables, one common challenge is flattening them into a single list while applying transformations. Many programming languages provide a built-in flatMap function, but Python does not have an explicit flat_map method. However, Python’s powerful list comprehensions offer an elegant way to achieve the same functionality. This article examines implementation behavior using Python’s list comprehensions and other methods. What is flat_map ? Functional programming  flatMap is a combination of map and flatten . It transforms the collection's element and flattens the resulting nested structure into a single sequence. For example, given a list of lists, flat_map applies a function to each sublist and returns a single flattened list. Example in a Functional Programming Language: List(List(1, 2), List(3, 4)).flatMap(x => x.map(_ * 2)) // Output: List(2, 4, 6, 8) Implementing flat_map in Python Using List Comprehension Python’...
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Python Default Argument is Self Why do We Need it

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Python self as default argument, here is the reason. Below, you will find an example and the importance of self-argument. Structure of a class The default argument is self. The self-argument states the function belongs to the class that we refer to here. Access to class members' details of one member to another is possible through self-argument. So self-argument is mandatory. class <name of the class>: def <function name>(<arguments>): ... <members> Self Argument A python class consists of methods these also called functions. The default self-argument you need to supply in all the class methods . Python class with self argument class employee:      def getdata(self):           self.name=input('Enter name\t:')           self.age=input('Enter age\t:')     def putdata(self):           print('Name\t:',self.name)          ...
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