General purpose numerical Open Source sofware sought

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SUMMARY

The discussion centers on the evaluation of advanced open-source numerical software, with a focus on CERN's ROOT, SciPy, GNU Octave, and Sage CAS. The user expresses a preference for ROOT after a brief trial, highlighting its powerful features, flexibility, ease of use, and comprehensive documentation. The conversation emphasizes the advantages of ROOT over other options, particularly for users transitioning from Scilab.

PREREQUISITES
  • Familiarity with open-source software concepts
  • Basic understanding of numerical analysis
  • Experience with Python programming for SciPy
  • Knowledge of CAS (Computer Algebra Systems) for Sage CAS
NEXT STEPS
  • Explore CERN's ROOT documentation and tutorials
  • Learn about SciPy's functionalities and applications in Python
  • Investigate GNU Octave's capabilities and user community
  • Research Sage CAS and its integration with other numerical tools
USEFUL FOR

This discussion is beneficial for data scientists, researchers, and developers seeking advanced open-source numerical software for computational tasks and those transitioning from Scilab to more powerful alternatives.

ManDay
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Hello, after having used Scilab for the longer part of a while by now, I'm looking to change over to a functionally more enhanced software but am not yet sure which to choose. I've more or less come down to a choice of four programs, of which I would like you to pick the one which you think is the currently most advanced. If however, you happen to have any other suggestion of an open source or free numerical or numerical and CAS software, go ahead with it.

I hope a few can contribute to this topic although proprietary is more of a standard in the industry.
 
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I think I've made my choice: ROOT.

After trying it for less than an hour (trouble free installation from the ubuntu repositories) I've to say that I'm already more than impressed. It's at the same time very very powerful, flexible and on the other hand easy to pick up and well documented.
 

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