Is theoretical physics always computational?

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The discussion centers on the intersection of theoretical physics and programming skills. A participant expresses a strong interest and aptitude in theoretical and abstract physics but finds programming tedious and challenging. They question whether it is possible to pursue a career in theoretical physics without strong programming skills, given the reliance on numerical methods for solving complex differential equations. Responses highlight the importance of programming in modern physics, especially for numerical work, citing examples like AdS/CFT results that rely heavily on computational techniques. However, some contributors emphasize that significant analytical work can still be done by hand, despite the lengthy and complex nature of such calculations. The conversation underscores the need for a balance between analytical skills and programming proficiency to enhance job prospects and engage with contemporary research effectively.
thephystudent
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I'm interested a lot in physics and math like most people here and I believe I can say I'm also good at them. I'm also more attracted to theoretical, abstract subjects than experimental or more phenomenological physics. I heard that any "real world" diff eq. more complicated than the hydrogen atom can't be solved analytically so you have to do it with the computer.

Now, the probem is: I don't like programming and find it boring. I'm also not very good at it. Eventually I can write something that works, but it takes a lot of time and effort compared to the result and I have to look up errors on the internet all the time. Are there options to be a theoretical physicist without being good at programming or should I just face it and keep trying to improve my skills?
 
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There are a whole lot of interesting things that can be discovered by doing numerical work, and you shouldn't shy away from getting your hands wet. For example, nearly all results in AdS/CFT are gotten numerically. Also, some programming skills will really help out your job prospects if you don't want to continue in academia for whatever reason (common reasons are not finding a job, and not wanting to be poor well into middle age).

That said, most of what I do is analytical. I do almost all my work by hand, which I have to because programs like Mathematica are incapable of doing it. Getting a result is a long and arduous process. A single sub-calculation could take a week or two. On my current project, I've already written about 150 pages of math, and I'd say I'm about halfway done.
 
Hey, I am Andreas from Germany. I am currently 35 years old and I want to relearn math and physics. This is not one of these regular questions when it comes to this matter. So... I am very realistic about it. I know that there are severe contraints when it comes to selfstudy compared to a regular school and/or university (structure, peers, teachers, learning groups, tests, access to papers and so on) . I will never get a job in this field and I will never be taken serious by "real"...
Yesterday, 9/5/2025, when I was surfing, I found an article The Schwarzschild solution contains three problems, which can be easily solved - Journal of King Saud University - Science ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT https://jksus.org/the-schwarzschild-solution-contains-three-problems-which-can-be-easily-solved/ that has the derivation of a line element as a corrected version of the Schwarzschild solution to Einstein’s field equation. This article's date received is 2022-11-15...
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