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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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Best Practices for Handling Duplicate Elements in Python Lists

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Here are three awesome ways that you can use to remove duplicates in a list. These are helpful in resolving your data analytics solutions.


Methods to remove list duplicates


 01. Using a Set

Convert the list into a set, which automatically removes duplicates due to its unique element nature, and then convert the set back to a list.


Solution:

original_list = [2, 4, 6, 2, 8, 6, 10]

unique_list = list(set(original_list))


02. Using a Loop

Iterate through the original list and append elements to a new list only if they haven't been added before.

Solution:

original_list = [2, 4, 6, 2, 8, 6, 10]

unique_list = []

for item in original_list:

    if item not in unique_list:

        unique_list.append(item)


03. Using List Comprehension

Create a new list using a list comprehension that includes only the elements not already present in the new list.


Solution:

original_list = [2, 4, 6, 2, 8, 6, 10]

unique_list = []

[unique_list.append(item) for item in original_list if item not in unique_list]

All three methods will result in unique_list containing only the distinct elements from the original_list. Keep in mind that the order of elements might not be preserved using the set approach as sets are unordered collections. The loop and list comprehension methods will maintain the order of the elements.


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