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
69
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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Likes aaroman, CalcNerd, FactChecker and 1 other person
  • #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

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

Yes, having a good understanding of at least one of these programming languages is essential for exploring computational physics. Many numerical methods and algorithms used in this field are implemented in C++ or Python, and having the ability to code in these languages will allow you to effectively apply these methods to your research.

2. Which language, C++ or Python, is more commonly used in computational physics?

Both languages are commonly used in computational physics, and the choice often depends on personal preference and the specific problem being tackled. C++ is typically preferred for its speed and efficiency, while Python is known for its versatility and ease of use. Many researchers use a combination of both languages in their work.

3. Can I use other programming languages instead of C++ or Python for computational physics?

While C++ and Python are the most commonly used languages in computational physics, it is possible to use other languages such as Java, Fortran, or MATLAB. However, it may require more effort to find and implement the necessary numerical methods and algorithms in these languages.

4. Do I need to have prior programming experience to explore computational physics?

Having some programming experience will certainly be helpful, but it is not a prerequisite for exploring computational physics. With dedication and practice, anyone can learn the necessary programming skills to apply computational methods to physics problems.

5. Is it necessary to have a strong background in physics to explore computational physics?

A solid understanding of physics principles and concepts is important for effectively applying computational methods to physics problems. However, it is not necessary to have a strong background in physics to start exploring computational physics. As you work on various projects, you will continue to learn and develop your physics knowledge and skills.

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