julia-tutorial

A Julia tutorial

Learning & Reference

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2Distinct people

3Mentions

0Explicit recommenders

161GitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

A Julia tutorial

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

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Also in these discussions

mlubin/simplexbenchmarks · linked in 2 of the same discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 8:59:20 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week3 dated mentions

Observed mentions: 2013-02-12 01:50:00 UTC to 2013-04-16 18:10:35 UTC. Weeks start Monday, UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges

UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Comments
Feb 11	2013-02-11 00:00:00 UTC	2013-02-18 00:00:00 UTC	2	2
Feb 18	2013-02-18 00:00:00 UTC	2013-02-25 00:00:00 UTC	0	0
Feb 25	2013-02-25 00:00:00 UTC	2013-03-04 00:00:00 UTC	0	0
Mar 4	2013-03-04 00:00:00 UTC	2013-03-11 00:00:00 UTC	0	0
Mar 11	2013-03-11 00:00:00 UTC	2013-03-18 00:00:00 UTC	0	0
Mar 18	2013-03-18 00:00:00 UTC	2013-03-25 00:00:00 UTC	0	0
Mar 25	2013-03-25 00:00:00 UTC	2013-04-01 00:00:00 UTC	0	0
Apr 1	2013-04-01 00:00:00 UTC	2013-04-08 00:00:00 UTC	0	0
Apr 8	2013-04-08 00:00:00 UTC	2013-04-15 00:00:00 UTC	0	0
Apr 15	2013-04-15 00:00:00 UTC	2013-04-22 00:00:00 UTC	1	1

What Hacker News says

2 sources

pygy_·Feb 12, 2013

Remove the four spaces before the long URL, it will be properly displayed and linkified. Meanwhile: https://github.com/JuliaLang/julia-tutorial/blob/master/Nume... https://github.com/mlubin/SimplexBenchmarks

In Julia, I love you (2012)

StefanKarpinski·Feb 12, 2013

Miles Lubin and Iain Dunning gave an excellent presentation at MIT's IAP tutorial on Julia in January where they benchmarked rather non-trival code for doing linear programming in a variety of languages: https://github.com/JuliaLang/julia-tutorial/blob/master/NumericalOptimization/pres… http://bit.ly/VQ9rDd (shortened version since that's cut off) See page 7, "Simplex Benchmarks". Essentially, they implemented the basics you need to do a fast simplex linear programming algorithm in each of C++, Julia, Matlab and Python. Their results were in line with the Julia home page benchmarks: Julia is between 1-2x slower than good C/C++ code. PyPy and Matlab are 10-20x slower. Python is 80-400x slower. The code can be found here: https://github.com/mlubin/SimplexBenchmarks These results are fairly typical.

In Julia, I love you (2012)