Programming and programming languages: Difference between revisions

From CCP4 wiki
Jump to navigation Jump to search
No edit summary
(→‎Learning Fortran: remove dead link)
 
(4 intermediate revisions by 3 users not shown)
Line 1: Line 1:
== Learning C++ ==
== Learning C++ ==


Line 6: Line 5:




== Learning Fortran90 ==
== Learning Fortran ==
   
   
* http://en.wikipedia.org/wiki/Fortran and http://en.wikipedia.org/wiki/Fortran_language_features
* http://en.wikipedia.org/wiki/Fortran (History), http://en.wikipedia.org/wiki/Fortran_language_features , https://en.wikipedia.org/wiki/Fortran_95_language_features (by Michael Metcalf)
* http://www.ibiblio.org/pub/languages/fortran/unfp.html  
* http://www.ibiblio.org/pub/languages/fortran/unfp.html  
* http://math.scu.edu/~dsmolars/ma169/notesfortran.html  
* http://math.scu.edu/~dsmolars/ma169/notesfortran.html  
* http://www.liv.ac.uk/HPC/F90page.html
* [http://opendirectoryproject.org/Computers/Programming/Languages/Fortran/FAQs,_Help,_and_Tutorials/Fortran_90_and_95 List of Fortran tutorials]
* [http://dmoz.org/Computers/Programming/Languages/Fortran/Tutorials/Fortran_90_and_95/ List of Fortran tutorials]
* http://fortranwiki.org/fortran/show/Tutorials
 
== Learning Python ==
 
An interpreted alternative to C++ and Fortran, which makes it easier to write quick programs.
 
* http://docs.python.org/tut/
* http://en.wikibooks.org/wiki/Non-Programmer's_Tutorial_for_Python/Contents
* [http://www.oreilly.com/catalog/9780596513986/index.html "Learning Python" book], by Mark Lutz
 
== R ==
 
Originally a statistics package, is very powerful for data analysis and visualization.
 
* [http://bio3d.pbworks.com/w/page/7824467/FrontPage Bio3D] - an R package containing utilities for the analysis of protein structure and sequence data

Latest revision as of 21:23, 1 May 2017

Learning C++[edit | edit source]


Learning Fortran[edit | edit source]

Learning Python[edit | edit source]

An interpreted alternative to C++ and Fortran, which makes it easier to write quick programs.

R[edit | edit source]

Originally a statistics package, is very powerful for data analysis and visualization.

  • Bio3D - an R package containing utilities for the analysis of protein structure and sequence data