Machine Learning

Recognize the data streams in Python. Planning the active data of real time with … | By Florian TraTWER | Jan, 2025

You organize the ongoing time data with a deque

Looking at the data science

Python gives many useful features into its normal libraries. Hide in the Collections The library, there is a small known data structure, dque [1] (clearly it was said A place of residence and traveling). Let me show you what it is, how it works and why it's the perfect way of the data planning data planning from the river!

Dque Data type imported from cluster module, represents a double-cooked line. It is actually a two-edged list, so that you can easily add / remove it from the head or tail.

In order to use it we declare fluctuations to the line. As the line has two edges, we can easily install in both conclusions or band to add to the tail or Appileoft adding at the beginning of the list.

from collections import deque

my_queue = deque()

my_queue.append("a")
my_queue.append("b")

my_queue.appendleft("c")
my_queue.appendleft("d")

print(my_queue) # deque(['d', 'c', 'a', 'b'])

Never come up from both sides of a line overflow to the right or poplef Deleting items from the beginning.

my_queue.pop()
print(my_queue) # deque(['d', 'c', 'a'])

my_queue.popleft()
print(my_queue) # deque(['c', 'a'])

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