F
Frederic
Hello,
I just decided to port a part of my scientific application from c++ to
python.
I chose Python because:
- it's a script language in which I can represent a graph
- it's portable and works out-of-the-box on popular platforms
- floats that are doubles
- it's easy to learn. I need other non-programmers to be able to read
my code and play with it.
While this is enough justification for me to use Python, I still
need to *prove* in my publication why I chose it. Does anybody
know of a book or (preferably) some scientific paper that
elaborates on the subject and that I can use as a reference? Note
that I don't need to say that Python is better than another language,
only that it fulfills those requirements.
Thank you,
Frederic
I just decided to port a part of my scientific application from c++ to
python.
I chose Python because:
- it's a script language in which I can represent a graph
- it's portable and works out-of-the-box on popular platforms
- floats that are doubles
- it's easy to learn. I need other non-programmers to be able to read
my code and play with it.
While this is enough justification for me to use Python, I still
need to *prove* in my publication why I chose it. Does anybody
know of a book or (preferably) some scientific paper that
elaborates on the subject and that I can use as a reference? Note
that I don't need to say that Python is better than another language,
only that it fulfills those requirements.
Thank you,
Frederic