Significant difference between Maple and Mathematica for physicists?

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SUMMARY

The discussion highlights the significant differences between Maple and Mathematica for physicists. Mathematica is favored for its advanced functional programming capabilities and is recommended for teaching computational physics, as indicated by widespread preference among professors. In contrast, Maple excels in discrete mathematics and offers a more familiar procedural programming approach, making it accessible for those with traditional programming backgrounds. Overall, Mathematica is considered the superior choice for general use in physics applications.

PREREQUISITES
  • Understanding of functional programming concepts
  • Familiarity with procedural programming paradigms
  • Basic knowledge of computational physics
  • Experience with mathematical software tools like Maple or Mathematica
NEXT STEPS
  • Explore advanced functional programming techniques in Mathematica
  • Learn about discrete mathematics applications in Maple
  • Research curriculum development for computational physics using Mathematica
  • Compare performance and usability of Mathematica and Maple for specific physics tasks
USEFUL FOR

This discussion is beneficial for physicists, educators in computational physics, and software developers interested in mathematical software applications.

LennoxLewis
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I'm a physicist and I've used Maple during my study (where it was common), but some people use Mathematica. Can anyone who has experience with both tell me if there are any big differences between the two? It seems to me that both are rather similar, unlike for instance Matlab which is more numerical and (small) programming-aimed.


p.s. there's no forum section on computer physics/math, and since I'm not interested in "pure" mathematics, but instead things like function manipulation, (system) DE sovling, etc etc. If any admin knows a better spot for this thread then by all means, do so.
 
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I find Mathematica to be a better all around package, while Maple is superior for some tasks in discrete math. Mathematica has a steep but fruitful learning curve and supports a very high level kind of functional programming, while Maple supports a more typical procedural programming paradigm. This means that Maple is often more familiar to people with past programming experience, while Mathematica's functional programming is more abstract and for some people never sinks in (I taught a course on Mathematica for Physics at a university).

The main reason to use Mathematica is that before while designing a computational physics curriculum for undergraduate physics majors the overwhelming reply from professors at schools across the country was to teach them Mathematica and C++. Like I said, Maple is superior is certain niches but in general Mathematica is better.
 

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