Discussion Overview
The discussion revolves around the programming languages that a physics and math major should consider learning. Participants explore various languages, their applications in scientific computing, and the relevance of each language in the context of physics research and programming tasks.
Discussion Character
- Exploratory
- Debate/contested
- Technical explanation
Main Points Raised
- Some participants suggest starting with C or C++ due to their foundational role in modern programming languages and their relevance in scientific programming.
- Others advocate for Python as a more accessible starting point, highlighting its ease of use and the availability of scientific libraries like SciPy and Sage.
- A few participants mention the importance of understanding logical instructions and problem formulation over specific language syntax.
- Fortran is discussed as a language still in use for high-performance programming, though opinions vary on its relevance and future in the physics community.
- Some participants express skepticism about Fortran's continued use, suggesting that newer languages like C++ and Python are more commonly adopted in current projects.
- Matlab is mentioned as a useful tool, with some participants noting that it can be learned quickly if one is familiar with C/C++ syntax.
- Graphical interfaces and tools like GNUplot and Tkinter in Python are recommended for ease of use in scientific visualization.
- There is a mention of the utility of learning basic bash scripting for automating tasks in UNIX systems.
- Some participants highlight the existence of legacy code in Fortran and the necessity of being able to work with it in certain contexts.
Areas of Agreement / Disagreement
Participants express a mix of opinions regarding the best programming languages for physicists. While there is some consensus on the importance of C/C++ and Python, significant disagreement exists regarding the relevance of Fortran, with some advocating for its continued use and others deeming it outdated.
Contextual Notes
Participants note that the choice of programming language may depend on specific career goals, such as high-performance computing or data analysis, and that the landscape of programming languages is subject to change over time.
Who May Find This Useful
This discussion may be useful for physics and math students considering which programming languages to learn for their studies and future careers in scientific research or engineering.