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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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How to Initialize Class Variables? The Purpose of Init Method in Python

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The init method is like a constructor in Java. But the usage is different in Python. Here's the best example to write Class in Python using init method. 

The init executes by default and it will initialize all the variable. The dog_1 is an instantiation of dog class. When you print the dog_1, it prints as "I am in the init method", which is from the "init" method.


How to use init method


The self means this class. It is mandatory. Not only self, but you can also give any name in that place. Instead of "self" you can give as "This_is_Python_Self". It also will work.

How to use init method

class dog:

   def __init__(self):
         print("I am in init method")


Now, instantiating the class


dog_1=dog()
print(dog_1)


The output from the above display is as below:


I am in init method

<__main__.dog object at 0x7fe7b5875be0>


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