Python

6318 readers

11 users here now

Welcome to the Python community on the programming.dev Lemmy instance!

📅 Events

Past

November 2023

PyCon Ireland 2023, 11-12th
PyData Tel Aviv 2023 14th

October 2023

PyConES Canarias 2023, 6-8th
DjangoCon US 2023, 16-20th (!django 💬)

July 2023

PyDelhi Meetup, 2nd
PyCon Israel, 4-5th
DFW Pythoneers, 6th
Django Girls Abraka, 6-7th
SciPy 2023 10-16th, Austin
IndyPy, 11th
Leipzig Python User Group, 11th
Austin Python, 12th
EuroPython 2023, 17-23rd
Austin Python: Evening of Coding, 18th
PyHEP.dev 2023 - "Python in HEP" Developer's Workshop, 25th

August 2023

PyLadies Dublin, 15th
EuroSciPy 2023, 14-18th

September 2023

PyData Amsterdam, 14-16th
PyCon UK, 22nd - 25th

🐍 Python project:

💓 Python Community:

#python IRC for general questions
#python-dev IRC for CPython developers
PySlackers Slack channel
Python Discord server
Python Weekly newsletters
Mailing lists
Forum

✨ Python Ecosystem:

🌌 Fediverse

Communities

#python on Mastodon
c/django on programming.dev
c/pythorhead on lemmy.dbzer0.com

Projects

Pythörhead: a Python library for interacting with Lemmy
Plemmy: a Python package for accessing the Lemmy API
pylemmy pylemmy enables simple access to Lemmy's API with Python
mastodon.py, a Python wrapper for the Mastodon API

Feeds

founded 1 year ago

MODERATORS

[email protected]

Python Big O: the time complexities of different data structures in Python (www.pythonmorsels.com)

submitted 5 months ago by [email protected] to c/[email protected]

9 comments fedilink hide all child comments

Trey Hunner writes:

This article is primarily meant to act as a Python time complexity cheat sheet for those who already understand what time complexity is and how the time complexity of an operation might affect your code. For a more thorough explanation of time complexity see Ned Batchelder's article/talk on this subject.

Read Python Big O: the time complexities of different data structures in Python

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 1 points 5 months ago (1 children)

Sets stay sorted, no?

[–] [email protected] 3 points 5 months ago* (last edited 5 months ago) (1 children)

Nope, sets are unordered.

[–] [email protected] 1 points 5 months ago (1 children)

Ah, sorry. Sets are unique, not ordered. Thanks!

[–] [email protected] 1 points 5 months ago

Yeah, I just think it's kind of odd though. If a language only has lists and hash maps, my go-to is to use a hash map for uniqueness, and sort the list for ordered lists.

But in Python, it's backwards where I use the hash map (dict) for ordered data and the set for uniqueness, because hash maps are unordered in most languages I've used.