Useful programming languages to learn?

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SUMMARY

The discussion emphasizes the importance of learning programming languages relevant to computational biophysics, with a strong recommendation for Python as the primary language due to its ease of use and broad applicability. C and C++ are also highlighted for their performance and low-level capabilities, while Scheme is suggested for its functional programming paradigm. The consensus is that mastering one language, particularly Python, is crucial before branching out to others, as understanding programming concepts is more important than the specific language used.

PREREQUISITES
  • Familiarity with Python programming (preferably Python 3.x)
  • Basic understanding of C and C++ programming languages
  • Knowledge of functional programming concepts, particularly through languages like Scheme
  • Awareness of computational biophysics principles and applications
NEXT STEPS
  • Explore advanced Python programming techniques through online courses on platforms like Coursera or Udacity.
  • Learn C++ for performance-critical applications, focusing on its object-oriented features.
  • Study functional programming by implementing projects in Scheme or a LISP dialect.
  • Investigate the use of Groovy in conjunction with Java for web applications and computational tasks.
USEFUL FOR

Researchers in computational biophysics, software developers, and students in computer science or related fields looking to enhance their programming skills and understanding of multiple programming paradigms.

  • #31
From Bipolarity,

The default Python IDE is very user friendly, and I found Python very nice when designing GUIs, performing my hobby cryptanalysis among various things.

That is great to know. This makes Python more appealing to try to learn than it seemed before. (That it can create graphical user-interfaces).

Both Python and Processing are OOP, so they have huge advantages over the non-OOP languages.

(Read about oop, still never understood clearly).
 
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  • #32
symbolipoint said:
From Bipolarity,



That is great to know. This makes Python more appealing to try to learn than it seemed before. (That it can create graphical user-interfaces).



(Read about oop, still never understood clearly).

OOP is just about the implementation of things like classes, class attributes, object instantiation and inheritance. It allows for a way to visualize elements of the code which would otherwise be very abstract.

BiP
 

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