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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 Unpack a List into Variables Quickly in Python

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Here are two examples to unpack a list in Python. You can do it easily by using splat operator. The asterisk in python is called a Splat operator. Here are two splat operators - Single and Double. Below, you will find examples. 1. Single splat operator Consider, for example, this code: abc = [1,2,3,4] print(abc)  Here the output will be: [1, 2, 3, 4] What if you didn't want the list output in list format? What if all you wanted was the list of values to be written to the output console? You could write them using a loop and one of the output functions, but Python prefers an easier way: print(*abc) 1 2 3 4 2. Double splat operator Here, I have written a function: def func(x,y,z):        return x + y + z print(func(**d)) It will show '6' as output. Since, I have assigned values for x,y, and z in a dictionary. So by using a double splat operator you assign values to the function. d = {  'x': 1,  'y': 2,  'z': 3  } Related posts 3 Advanced m...
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