I am using a Dictionary<Int,Int> to store the frequency of colors in an image, where the key is the the color (as an int), and the value is the number of times the color has been found in the image.
how can i split a list based on neighboring elements, so if i have a list such as
Perfect answer, I just miss the timing of comparing adding only one element
How do I sort a list of dictionaries by a specific key’s value? Given:
I have a data structure which essentially amounts to a nested dictionary. Let’s say it looks like this:
In Python, which data structure is more efficient/speedy? Assuming that order is not important to me and I would be checking for duplicates anyway, is a Python set slower than a Python list?
I’ve seen people say that set objects in python have O(1) membership-checking. How are they implemented internally to allow this? What sort of data structure does it use? What other implications does that implementation have?
frozendict(dict_obj): Accepts obj of dict type and returns a hashable and immutable dict
When should I use a dictionary, list or set?
From a recent SO question (see Create a dictionary in python which is indexed by lists) I realized I probably had a wrong conception of the meaning of hashable and immutable objects in python.