Programming and programming languages: Difference between revisions
Jump to navigation
Jump to search
Jamesjohnson (talk | contribs) |
No edit summary |
||
| Line 5: | Line 5: | ||
== Learning | == Learning Fortran == | ||
* http://en.wikipedia.org/wiki/Fortran | * 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://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://opendirectoryproject.org/Computers/Programming/Languages/Fortran/FAQs,_Help,_and_Tutorials/Fortran_90_and_95 List of Fortran tutorials] | ||
* http://fortranwiki.org/fortran/show/Tutorials | |||
== Learning Python == | == Learning Python == | ||
Revision as of 19:34, 1 May 2017
Learning C++
- Kevin Cowtan's primer at http://www.ysbl.york.ac.uk/~cowtan/lectures/kdc05cplusplus.pdf
- FAQ : http://www.parashift.com/c++-faq-lite/
Learning Fortran
- 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://math.scu.edu/~dsmolars/ma169/notesfortran.html
- http://www.liv.ac.uk/HPC/F90page.html
- 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
- "Learning Python" book, by Mark Lutz
R
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