SUMMARY
The discussion centers on the effectiveness of various mathematical and scientific software for producing aesthetically pleasing plots. Users mention tools such as Mathematica, Matlab, Python (Matplotlib), and Gnuplot, but express skepticism regarding their ability to create truly beautiful graphics without significant effort. The consensus suggests that while these tools can generate plots, achieving a high level of aesthetic quality often requires additional desktop publishing software and manual adjustments. Notably, Mathematica has been referenced for its use in textbook publishing, yet examples of its output matching the standards of AMS papers are scarce.
PREREQUISITES
- Familiarity with Mathematica and its plotting capabilities
- Understanding of Matlab and its graphical functions
- Knowledge of Python and the Matplotlib library
- Basic concepts of desktop publishing for enhancing plot aesthetics
NEXT STEPS
- Explore advanced features of Mathematica for creating publishable graphics
- Learn about Matlab's graphical customization options
- Investigate Python's Matplotlib for aesthetic plot enhancements
- Research desktop publishing tools that can complement scientific software outputs
USEFUL FOR
This discussion is beneficial for data scientists, researchers, and educators who are looking to produce high-quality visual representations of data using mathematical and scientific software.