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#matlab

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Fabrizio Musacchio<p>🧠💻 A team from the Mind, Brain and Behavior Research Center (CIMCYC, cimcyc.bsky.social) published a <a href="https://sigmoid.social/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> guide aimed at students in <a href="https://sigmoid.social/tags/psychology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>psychology</span></a> and <a href="https://sigmoid.social/tags/cognitive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cognitive</span></a> <a href="https://sigmoid.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuroscience</span></a>. This evolving set of <a href="https://sigmoid.social/tags/tutorials" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tutorials</span></a> offers a curated collection of conceptual reflections, practical examples, and methodological recommendations. The material is available in <a href="https://sigmoid.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a>, <a href="https://sigmoid.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a>, and <a href="https://sigmoid.social/tags/MATLAB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MATLAB</span></a>.</p><p>🌍 <a href="https://wobc.github.io/programming_book/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">wobc.github.io/programming_boo</span><span class="invisible">k/</span></a><br><a href="https://sigmoid.social/tags/CognitiveScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CognitiveScience</span></a> <a href="https://sigmoid.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenScience</span></a></p>
Redish Lab<p><a href="https://neuromatch.social/tags/Matlab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Matlab</span></a> seems to be mostly recovered. Anyone installed new downloads or add-ons successfully? Anyone noticed any problems?</p>
The New Oil<p><a href="https://mastodon.thenewoil.org/tags/MATLAB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MATLAB</span></a> dev confirms <a href="https://mastodon.thenewoil.org/tags/ransomware" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ransomware</span></a> attack behind service outage</p><p><a href="https://www.bleepingcomputer.com/news/security/mathworks-blames-ransomware-attack-for-ongoing-outages/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">bleepingcomputer.com/news/secu</span><span class="invisible">rity/mathworks-blames-ransomware-attack-for-ongoing-outages/</span></a></p><p><a href="https://mastodon.thenewoil.org/tags/MathWorks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MathWorks</span></a> <a href="https://mastodon.thenewoil.org/tags/cybersecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cybersecurity</span></a></p>
Ralph-Uwe Börner<p><a href="https://mastodon.social/tags/MathWorks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MathWorks</span></a> server issues have persisted for days, affecting licensing and downloads. This highlights how dependent many academic workflows are on proprietary systems.</p><p>Consider alternatives that remain available regardless of vendor status:</p><p>🔹 Julia – built for numerical computing<br>🔹 Python – widely used, with strong scientific libraries</p><p>Both are open-source and resilient.</p><p><a href="https://mastodon.social/tags/MATLAB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MATLAB</span></a> <a href="https://mastodon.social/tags/JuliaLang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JuliaLang</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/Academia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Academia</span></a></p>
Redish Lab<p>@mathworks - how is *downloads* not the first thing you restored? 🤬 </p><p>All the other stuff is gravy. If you have downloads, people can install their own license servers and run matlab. How is this not the first thing fixed?</p><p><a href="https://neuromatch.social/tags/matlab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>matlab</span></a> </p><p>ps. Does anyone have a link to @mathworks so we can actually talk to them?</p>
Alien BOB<p><span class="h-card" translate="no"><a href="https://cyberplace.social/@GossiTheDog" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>GossiTheDog</span></a></span> I don't know what web sites you are talking about? I can access my <a href="https://fosstodon.org/tags/MathWorks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MathWorks</span></a> online <a href="https://fosstodon.org/tags/MATLAB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MATLAB</span></a> resources just fine, for instance <a href="https://matlabacademy.mathworks.com/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">matlabacademy.mathworks.com/</span><span class="invisible"></span></a> or <a href="https://matlab.mathworks.com/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">matlab.mathworks.com/</span><span class="invisible"></span></a></p>
El Duvelle<p><span class="h-card" translate="no"><a href="https://neuromatch.social/@adredish" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>adredish</span></a></span> I am also currently using <a href="https://neuromatch.social/tags/Matlab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Matlab</span></a> for my analyses.. I used to prefer <a href="https://neuromatch.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> but last time I tried to install it to get some spike sorting code to run I had to admit that all the problems with incompatible versions made it almost not worth it.</p><p>The only other alternative I've seen people use would be R, and these people usually claim that it can do anything that Python (or Matlab) does, but in reality I've never seen them use it for anything else than plot graphs and do stats. So I don't know if it can really be a replacement.</p><p>I also tried Octave a long time ago, it was not as good as Matlab but maybe it has improved now? I don't know how they deal with updates and toolboxes..</p><p>So I'm also interested to see what alternatives do people use for <a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neuroscience</span></a> analyses!</p>

I'm surprised to hear they're still teaching MATLAB to civil engineering students in college. I learned MATLAB in college the late 2000s, but it was proprietary and expensive so I never used it.

STEM students should definitely be learning Python instead of MATLAB. It can do anything MATLAB can do, and is free and accessible.

Suite du fil

This is neat ... I can see what gear the car is in by doing this in Octave ...

clf;hold on;plot(out(:,1),(out(:,3)/1.609344)./out(:,2),'.b-');plot(0,0,'b.')

(1) A function of the current gear ratio, plateaus are simply in gear.

(2) Seconds.

I suspect that the poorly classified section at the end was me reversing into the drive - where the clutch is only partly engaged so that I can go very slowly.

#cars #DataScience #programming #linux #matlab

I was interested in collecting data from my car, specifically to look at what happens during around gear changes.

I bought a cheap OBD-II interface and it turns out that you hardly need any code to capture RPM, Speed and throttle position- and plot some graphs with #Linux. Particularly if you have low standard for graphs.

There's a README and some plots.

github.com/sjaturner/obd

Too nerdy, right?

#matlab vs #gnuoctave : try computing
f=@(x,y) log(2+x)./atan(x-y)
c=@(x) -x
d=@(x) sin(x)
integral2(f,0,2,c,d)
then you'll get :
7.453231792656116 % with matlab
7.453230816525963 % with octave
a more accurate calculation gives
integral2(f,0,2,c,d,'AbsTol',1e-12)
7.453230816525963 % with matlab
7.453230816525963 % with octave
so matlab integral2 has not 1e-10 absolute error as said in the manual 🙄

Seriously #anaconda this am I have messages from every other #nasa IT admin to get you off our system asap.

Your brilliant bu$ine$$ strategy has driven me back to macports. 🙄

My boss had me dump #matlab because of its price. Let me tell you how few #idl folks remain.

For computer science mastodoni— I’d welcome advice.

I use python principally as an olive branch to my students. Still rocking Fortran and compiled codes (like NCO) to do most of my analyses

Python and R are mostly for plots

Fun and games aside for a minute. If you use a #WarmingCurve since 1850 for #teaching, #scientific publication, or #ClimateChange advocacy, you need to check out Chan et al.'s new database - it's DCENT.
(seriously, a very nice #temperature compilation of the Industrial area... but why is the code in #Matlab?)

nature.com/articles/s41597-024

NatureA Dynamically Consistent ENsemble of Temperature at the Earth surface since 1850 from the DCENT dataset - Scientific DataAccurate historical records of Earth’s surface temperatures are central to climate research and policy development. Widely-used estimates based on instrumental measurements from land and sea are, however, not fully consistent at either global or regional scales. To address these challenges, we develop the Dynamically Consistent ENsemble of Temperature (DCENT), a 200-member ensemble of monthly surface temperature anomalies relative to the 1982–2014 climatology. Each DCENT member starts from 1850 and has a 5° × 5° resolution. DCENT leverages several updated or recently-developed approaches of data homogenization and bias adjustments: an optimized pairwise homogenization algorithm for identifying breakpoints in land surface air temperature records, a physics-informed inter-comparison method to adjust systematic offsets in sea-surface temperatures recorded by ships, and a coupled energy balance model to homogenize continental and marine records. Each approach was published individually, and this paper describes a combined approach and its application in developing a gridded analysis. A notable difference of DCENT relative to existing temperature estimates is a cooler baseline for 1850–1900 that implies greater historical warming.
A répondu dans un fil de discussion

@silmathoron @Theeo123 @ONLYOFFICE @libreoffice Calc has always done what I needed it to do. One of our operations math classes at uni was mostly excel based (who knows why) even that worked with #Libreoffice. People over use (abuse) Excel. There's a point where you are better off using a specialised tool, or #matlab, or #python. As for Impress: if you are making good, professional looking slides you don't need any of the whizzbang. 🤷

OK I'm sold on #JuliaLang: it fills an interesting gap between #Python and C++. What's interesting about it is that it can be used for rapid prototyping not unlike Python, but (1) it basically comes with (faster) numpy built in and (2) it's possible to “gracefully” transition to more rigorous programming styles, which will usually bring potentially significant performance gains. And in contrast to #MATLAB, it's #FLOSS.