Exploring Computational Physics: Is C++/Python Necessary?

In summary, the conversation discusses the benefits of learning complex numerical methods with C++/Python versus using specialized software like Mathematica for computational physics. The general consensus is that if cost is not a problem, Mathematica is the preferred option due to its versatility and established language. However, for those on a budget, Python and Octave are also mentioned as viable alternatives. The speaker also recommends the book "Computational Methods for Physics" and personally uses Maple due to their employer's site license.
  • #1
zoltrix
70
7
hello

I am interested in computational physics at an amateur level
is it worth while learning complex numerical methods with C++ /Python to solve partial differential equations as well as for other physical applications while a software such as mathematica can do the job for you ?
 
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  • #2
IMO, if there is a well-established, specialized language targeted at your application, it is easier to use. If cost is not a problem, use Mathematica.
 
  • #3
FactChecker said:
If cost is not a problem, use Mathematica.
I second this. Mathematica is very versatile and you will be able to get much more out of it.

If you chose to go with Mathematica, I recommend the book Computational Methods for Physics by Joel Franklin.
 
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Likes aaroman, vanhees71 and FactChecker
  • #4
I got Mathematica in 1995 and I continue to use it today for exploring physics.
 
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Likes DrClaude, vanhees71 and FactChecker
  • #5
A less expensive alternative is Python. As Mathematica it provides both computer algebra and numerics.
 
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Likes aaroman and Dale
  • #6
Octave is fun too, it is basically a free version of Matlab
 
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  • #7
For a very pragmatic reason, I use Maple. My employer has a site license, so I get for free the full version on my office desktop, and on my laptop. I have made extensive use of this both professionally and recreationally.
 
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Likes vanhees71

FAQ: Exploring Computational Physics: Is C++/Python Necessary?

Is knowledge of C++ or Python necessary for exploring computational physics?

No, it is not necessary to have prior knowledge of C++ or Python to explore computational physics. However, having a basic understanding of programming concepts can be beneficial for effectively implementing and solving physics problems using computational methods.

Which programming language is more suitable for computational physics, C++ or Python?

Both C++ and Python are commonly used programming languages in computational physics. C++ is known for its speed and efficiency, making it ideal for complex simulations. On the other hand, Python is preferred for its readability and ease of use, making it a popular choice for beginners in computational physics.

Can I use other programming languages for exploring computational physics?

Yes, you can use other programming languages for exploring computational physics. While C++ and Python are commonly used, other languages like Fortran, MATLAB, and Julia are also suitable for implementing numerical methods and simulations in physics.

How can I learn C++ or Python for computational physics?

You can learn C++ or Python for computational physics through online tutorials, courses, books, and practice problems. Many resources are available for beginners to advanced learners, allowing you to develop your programming skills and apply them to physics problems.

What are the benefits of using C++ or Python in computational physics?

Using C++ or Python in computational physics offers several benefits, including the ability to efficiently solve complex problems, implement numerical methods, visualize data, and automate simulations. These programming languages provide a versatile platform for exploring and understanding physics through computational methods.

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