![]() Facing a choice between using Matlab or Python there are compelling arguments to choose the latter. Python is younger but has since matured into a product which out-performs Matlab in many fields. A commercial product called Matlab is also used extensively and has a long(er) history in both engineering and science. The flexibility and adaptability of Python make it a virtual Swiss-army pocket knife and extremely productive and useful to those who know how to wield this awesome piece of kit. Like the slide-rule and calculator from the past, a good working knowledge of Python should be considered an essential part of the engineer or scientists arsenal of skills. An efficient way to utilise and exploit this power is the Python programming language. Nowadays computers or even smartphones, pack unheard of computing power available at our fingertips. Over time simple log and sine tables have been replaced by slide-rules and calculators. IntroductionĮngineers and scientists alike have had many tools at their disposal to assist them in performing the various calculations needed to do their job. ![]() In fact this memo argues the position that especially for new (non-legacy) applications Python is the best choice to accomplish the job. This memo tries to explain some of the differences an highlight the advantages that Python has over Matlab. Both are used extensively but differ in some elementary ways. Python and Matlab are both tools that can be used to execute various data analysis and rendering tasks both in science and engineering. Based on own experience and references at the end of this post. ![]() Arguments for using Python for science and engineering (instead of some other tool like Matlab). ![]()
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