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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’...

2 Multiline Commenting Ideas in Python

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Here are two ways you can comment out multiple lines in python. Python Multiline Comments These are two popular methods Viz Backslash and Triple quote methods. 1. Backslash method >>> s = "This is a test of the emergency broadcast system" \ … " and it will display an emergency if you put a line of text" \ … " that is more than 80 characters on a single line" >>> print(s) This is a test of the emergency broadcast system and it will display an emergency if you put a line of text that is more than 80 characters on a single line 2. Triple quote method >>> s1 = """ This is a test of the emergency broadcast system. … and it will display an emergency if you put a line of text … that is more than 80 characters on a single line … """ >>> print(s1) This is a test of the emergency broadcast system. and it will display an emergency if you put a line of text that is more than 80 characters on a single l...

How to Explain String Immutability in Python Correctly

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Here is an answer to explain the immutability of Strings in Python. It means that you can't modify the string. Due to this, you can use strings securely in many places of your project. How to check string immutability Here is an example. In the python shell, assign a value of your choice to a string. Here my choice is ABCD, and I have assigned it to myString. I have tried to replace A with Z. But, it gave an error due to the immutability of strings. >>> myString = 'ABCD' >>>myString [0] = 'Z' What is learning here The strings immutability is an interview question. In interviews, you can say that strings are immutable, and you can't replace its data. Benefits of strings immutability It saves a lot of time since the data in strings are immutable. It results in high performance. String objects you can reuse as no one can modify its value. Strings are elemental. So no activity can change its value ( these are more like numbers). References Powerful...