Combinatorics.jl VS StatsWithJuliaBook

Compare Combinatorics.jl vs StatsWithJuliaBook and see what are their differences.

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Combinatorics.jl StatsWithJuliaBook
1 6
208 1,059
0.0% -
6.5 0.0
24 days ago about 1 year ago
Julia Julia
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

Combinatorics.jl

Posts with mentions or reviews of Combinatorics.jl. We have used some of these posts to build our list of alternatives and similar projects.
  • Odds of matching six sided dice
    1 project | /r/Probability | 18 Sep 2021
    For the exact solution, I split it into a few parts, one of which required iterating over multiset combinations, for which there is already code provided in the Combinatorics.jl package. I copy/pasted the pieces that I needed:

StatsWithJuliaBook

Posts with mentions or reviews of StatsWithJuliaBook. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-09.

What are some alternatives?

When comparing Combinatorics.jl and StatsWithJuliaBook you can also consider the following projects:

ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

Plots.jl - Powerful convenience for Julia visualizations and data analysis

BlueStyle - A Julia style guide that lives in a blue world

JLD2.jl - HDF5-compatible file format in pure Julia

BenchmarkTools.jl - A benchmarking framework for the Julia language

Makie.jl - Interactive data visualizations and plotting in Julia

islr-for-gis - A repository for the content that is used and generated while completing independent study on using statistical learning methods in GIS.

Indicators.jl - Financial market technical analysis & indicators in Julia

MeshCat.jl - WebGL-based 3D visualizer in Julia

ISLR - Introduction to Statistical Learning

HypothesisTests.jl - Hypothesis tests for Julia

6S083 - Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic