Difference between revisions of "Python"
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* Python and Bioinformatics | * Python and Bioinformatics | ||
** [http://www.biopython.org Biopython] -Sequence manipulation et al. Like BioPerl | ** [http://www.biopython.org Biopython] -Sequence manipulation et al. Like BioPerl | ||
| − | ** [http://pycogent. | + | ** [http://pycogent.org/ PyCogent] -A similar toolkit, but aimed at genomic biology |
** [http://code.google.com/p/pygr/ pygr] -Another package in the same direction, | ** [http://code.google.com/p/pygr/ pygr] -Another package in the same direction, | ||
| − | ** [https://github.com/bxlab/bx-python] -and yet another one | + | ** [https://github.com/bxlab/bx-python bx-python] -and yet another one |
| − | ** [http:// | + | ** [http://bioinformatics.oxfordjournals.org/content/21/14/3164.full.pdf TAMO] -sequence motif analysis in Python |
Revision as of 16:30, 10 October 2016
And now for something completely different...
Welcome to my personal Python page. At the moment you will only find some links to other sites, as I haven't had time to put together some stuff of general interest.
Python is a portable, object-oriented and last but not least easy-to-learn scripting language which can be used for everything from throwaway-scripting to complete applications .
Because it is quite easy to read and to understand, and because it is portable and especially because much stuff for processing PDB-files (containing information about molecular models (Proteins, RNA, organic and inorganic molecules) already existed, I had chosen Python as the implementation language for some data-parsing and conversion tools I desperately needed during and shortly after my diploma-work.
More recently I have written some glue-logic for my Ph.D. work (macromolecular crystallography) which does more or less similar things as the GROMOS96-scripts: Input-generation and some logfile-parsing.
I got lucky in being paid to program in Python during my industry-career at Exelixis, BASF Plant Science as well as BASF Business Services.
And of course Python is essential, if you like Pymol, a molecular graphics program which uses it as its extension and scripting language.
To be somehow usefull, here is the proof, that python is good and Java and Perl are evil:
print "Hello world!"
Although this will have to be written as
print("Hello world!")
from now on, still not bad compared to Java or Visual Basic.
If you still don't believe me, try this
from __future__ import braces
And if you still don't believe me, read this
Still no content here...
Links
- Some usefull extensions
- iPython -an enhanced interactive Python shell.
- Matplotlib -Reporting
- Reportlab -Plotting
- Python and Bioinformatics
