#list comprehension

[chaos-market]

[ List comprehension is amazing, like here is a comparison ]

Without "List comprehension"

Doubles = []

for x in range(1, 11):

Doubles.append(x * 2)

Print(Doubles)

[ 2, 4, 6, 8, 10, 12, 14, 16, 18, 20]

With "List Comprehension"

Doubles = [x * 2 for x in range(1, 11)]

Print(Doubles)

[ 2, 4, 6, 8, 10, 12, 14, 16, 18, 20]

[ like, I'm amazed man, I'm happy that exists ]

@myxo-gabriel

[ruchiuppal]

Python List Comprehension

[linnartsf]

List comprehensions in Python

This post is a part of my Python documentation, in case you are learning Python. In below coding examples I cover list comprehensions, a compact way of creating lists, allowing for filtering too.

# first example of a python list comprehension; # syntax is list = [element from sequence (with filter)]; # below example does not apply a filter a = [i for i in range(0,10)] a

[0, 1, 2, 3, 4, 5,…

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[superdatawizard]

List Compehension

[pythonenthusiast-blog]

List Comprehension

[geekymindsblog]

Python : List Comprehension Explained

Python : List Comprehension Explained

As a newbie Python coder, concepts like list comprehension may feel overwhelming in the beginning. This article is to make it easier for you to understand this very useful concepts.

(more…)

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[datasciencethings]

Python for Data Science: 8 Concepts You May Have Forgotten

Mastering the little things in Python, NumPy, and Pandas

Lifesaver tricks in Python 

[mycomsciexperience-blog]

Abstract Data Type (ADT) and List Comprehension

In CS we recycle our intuition about the outside world as ADTs. We abstract the data and operations, and suppress the implementation. 

For example, list is sequences of items that can be added, removed, accessed by position. Stack is specialized list where we only have access to most recently added item (i.e. we can only remove the top one and added to the top. First In Last Out.). Queue is specialized list where we only have access to the earliest added item. (like a queue in coffee shop, First In First Out). Sack is specialized list where we remove items at random position. 

The public interface of our ADT should be constant, but inside we could implement it in various ways using list or even dictionary. When deciding which implementation we should use, we need to consider the amount of time needed for the code to run when the size of queue/ stack/ sack is huge. For example, if we decide to pop and add to position 0, then when an item is added, all other items need to move one place to the right; when an item is removed, all other items need to move one place to the left. And this is gonna cost a lot of energy.

List comprehension is a really convenient way to code more concisely and clearly. Instead using a for loop which consists at least two lines, we can use one line to do the same thing. And it creates a new list from an old list without changing it.

For example:

return [for name in iterable if condition]

does the same thing as

new_list = []

for name in iterable:

if condition:

   new_list.append(name)

return new_list