DataStructures.jl
ArraysOfArrays.jl
DataStructures.jl | ArraysOfArrays.jl | |
---|---|---|
1 | 1 | |
677 | 44 | |
0.9% | - | |
7.2 | 6.6 | |
30 days ago | 11 days ago | |
Julia | Julia | |
MIT License | GNU General Public License v3.0 or later |
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DataStructures.jl
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Downloading packages to Julia 0.7
When I tried to download DataStructures with Pkg.add(Pkg.PackageSpec(url="https://github.com/JuliaCollections/DataStructures.jl.git", rev="v0.9.0")
ArraysOfArrays.jl
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Efficient Jagged Arrays
there's a whole ecosystem in Python originally developed for high energy physics data processing: https://github.com/scikit-hep/awkward all because Numpy demands square N-dimensional array
Same technique used everywhere, here's a simple Julia pkg for the same thing: https://github.com/JuliaArrays/ArraysOfArrays.jl/blob/3a6f5b...
But Julia at least has the decency to just support ragged Vector{Vector} out of the box, and it's not that slow
What are some alternatives?
StatsBase.jl - Basic statistics for Julia
Graphs.jl - An optimized graphs package for the Julia programming language
julia - The Julia Programming Language
YAXArrays.jl - Yet Another XArray-like Julia package
DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
ComponentArrays.jl - Arrays with arbitrarily nested named components.
Pluto.jl - 🎈 Simple reactive notebooks for Julia
awkward - Manipulate JSON-like data with NumPy-like idioms.
CYCLOPS - Cyclic Ordering by Periodic Structure
RandomBasedArrays.jl - Hassle-free arrays: the first index is always random
StarWarsArrays.jl - Arrays indexed as the order of Star Wars movies