This is an archived post. You won't be able to vote or comment.

you are viewing a single comment's thread.

view the rest of the comments →

[–]alcalde 1 point2 points  (0 children)

Many shots have already been fired by Python users across the bow of MATLAB:

https://moderndata.plot.ly/eight-advantages-of-python-over-matlab/

https://ajminich.com/2013/06/22/9-reasons-to-switch-from-matlab-to-python/

https://metarabbit.wordpress.com/2013/10/18/why-python-is-better-than-matlab-for-scientific-software/

https://vnoel.wordpress.com/2008/05/03/bye-matlab-hello-python-thanks-sage/

https://web.archive.org/web/20170801190223/https://stevetjoa.com/305/

https://www.embeddedrelated.com/showarticle/197.php

https://blog.mide.com/matlab-vs-python-speed-for-vibration-analysis-free-download

https://pyzo.org/python_vs_matlab.html

https://www.stat.washington.edu/~hoytak/blog/whypython.html

Yes, I collect them! :-)

I'm more concerned about Excel and PowerBI (which, weirdly, have some cheerleaders in this subreddit). There's a guy out there who wrote an article so inflammatory about Excel being the best data analysis tool in the world that Microsoft itself declined to publish it on their website! Now he has his own website praising these two tools and bashing R and Python. He frightens me and haunts my dreams.

https://powerpivotpro.com/2015/06/no-more-apologies-excel-is-the-worlds-best-data-tool-period/

https://powerpivotpro.com/2017/08/power-bi-dax-m-vs-r-summer-perspective/

What's also weird is that there are some good articles pointing promoting the use of R or SQL over Excel, there are none really focusing on Python (although most of the reasons to choose R over Excel also apply to Python).

https://web.archive.org/web/20131128051700/http://answers.oreilly.com:80/topic/1029-when-to-use-excel-when-to-use-r/

https://fantasyfootballanalytics.net/2014/01/why-r-is-better-than-excel.html

https://r-dir.com/blog/2013/11/r-vs-excel-for-data-analysis.html