sortedcontainers
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| sortedcontainers | lungo | |
|---|---|---|
| 6 | 2 | |
| 3,219 | 448 | |
| - | - | |
| 7.4 | 5.2 | |
| about 1 month ago | 23 days ago | |
| Python | Go | |
| GNU General Public License v3.0 or later | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sortedcontainers
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Ask HN: Where do I find good code to read?
If you like Python, the library sortedcontainers as a clear, well documented, yet short source code that is a joy to read for a non trivial problem:
https://github.com/grantjenks/python-sortedcontainers/blob/m...
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Problem #2353 Design a food rating system
See for yourself. Looks like sortedset uses sortedlist under the hood, which itself uses a list of lists under the hood.
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Discussion Thread
You could use http://www.grantjenks.com/docs/sortedcontainers/ instead!
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Blog Post: Large Rust Workspaces
Even the Gentoo package repository manages fine with a two-level hierarchy. There's also a Python library, sortedcontainers, that suggests two-level trees are pretty good at any reasonable human-scale (and beyond), even while fixed-arity trees are asymptotically optimal.
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Show HN: Mongita is to MongoDB as SQLite is to SQL
It's a good question and to be accurate, depending on the benchmark, Mongita is about the same speed at SQLite to several-times slower.
There is less happening algorithmically than you would think. Where the tricky slow bits do exist, they have largely fallen into the happy-path of fast data structures in the Python language/stdlib. I also use sortedcontainers for indexes which helped quite a bit (http://www.grantjenks.com/docs/sortedcontainers/).
If you're curious, the benchmark code is in the repo: https://github.com/scottrogowski/mongita/blob/master/benchma...
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Top 15 Python Packages You Must Try
I’d like to add sortedcontainers. I use it all the time. It basically does what it says on the tin. Other than the SortedList, the fact that the container is sorted only comes into play when you iterate over it or perform a bisect left/right.
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- Show HN: Mongita is to MongoDB as SQLite is to SQL
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An Unlikely Database Migration
I found myself in a similar situation sometime ago with MongoDB. In one project my unit tests started slowing me down too much to be productive. In another, I had so little data that running a server alongside it was a waste of resources. I invested a couple of weeks in developing a SQLite type of library[1] for Go that implemented the official Go drivers API with a small wrapper to select between the two. Up until now, it paid huge dividends in both projects ongoing simplicity and was totally worth the investment.
What are some alternatives?
python-patterns - A collection of design patterns/idioms in Python
mongita - "Mongita is to MongoDB as SQLite is to SQL"
algorithms
indradb - A graph database written in rust
TheAlgorithms - All Algorithms implemented in Python
mongodb-memory-server - Spinning up mongod in memory for fast tests. If you run tests in parallel this lib helps to spin up dedicated mongodb servers for every test file in MacOS, *nix, Windows or CI environments (in most cases with zero-config).
more-itertools - More routines for operating on iterables, beyond itertools
go-memdb - Golang in-memory database built on immutable radix trees
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
lua-mongo - MongoDB Driver for Lua
PyPattyrn - A simple library for implementing common design patterns.
SQLBoiler - Generate a Go ORM tailored to your database schema.