Programming for undergrad physics major

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SUMMARY

The discussion emphasizes the importance of programming skills for undergraduate physics majors, particularly at the University of Toronto. Key programming languages recommended include Python, C++, and MATLAB, which are essential for both theoretical and experimental physics. Additionally, familiarity with software such as Mathematica and statistical tools like R and SAS is advised. The conversation highlights the necessity of self-studying these languages and tools to enhance readiness for research opportunities.

PREREQUISITES
  • Understanding of Python programming (recommended for its ease of learning and utility)
  • Familiarity with C++ (important for computational tasks in physics)
  • Knowledge of MATLAB (useful for mathematical modeling and simulations)
  • Basic understanding of statistical software like R or SAS (for data analysis)
NEXT STEPS
  • Learn Python for scientific computing and data analysis
  • Study C++ for performance-critical applications in physics
  • Explore MATLAB for mathematical modeling and simulations
  • Familiarize yourself with R for statistical analysis and data visualization
USEFUL FOR

Undergraduate physics majors, aspiring researchers in theoretical and experimental physics, and anyone looking to enhance their programming skills for academic and research purposes.

plancking
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I'm starting my undergraduate degree in physical/mathematical sciences at the University of Toronto in the fall. My long-term goal at this point is a career in academia, probably theoretical physics, but I don't want to close any doors on the experimental side. Other than coursework, I would like to volunteer with a research group. Are there any programming languages that I should self-study before I get there? U of T's physics curriculum doesn't seem too heavy on computational physics but I want to be well-prepared.

Also - tangentially related - are there any software programs with a steep learning curve that I should start learning now?
 
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Well, there's quite a few programming languages you can and should learn. I tend to recommend python, because it's extremely useful and relatively easy to learn. Once you learn one language, learning more becomes a bit more simple.

On the software side, it wouldn't hurt to learn a basic mathematical program like matlab, mathematica, maple and on the statistical side SAS or R(it's free!).
 
Thank you, that's very helpful!
 
C++, learning to read fortran, Python, and Matlab should serve you well. Maybe java.
 
Python, Matlab and LabView

Also Linux/unix
 
I second the suggestions of C++ and Matlab. I also suggest being very familiar with Mathematica.
 

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