Hi Cecilia, You've had a lot of good replies already, but I'd like to add the following points if I may:
1) You probably should figure out as much as that's possible up front exactly you're trying to do in terms of data processing first (e.g. some idea of the stats, graphs, summaries, operations etc), and then figure out whether Python is in fact the quickest/best way to get there for you. Python is very capable, it has many data analysis libraries and so on and is used by many scientists (NumPy, SciPy, Pandas comes to mind offhand), but then there are also many other languages and system also appropriate in this sphere. (R comes to mind.) Your goal (from my point of view) is not to become a programmer, but to get your research done. Python may be the way to achieve that, but from where I'm sitting it may also not be. 2) It may be useful to take some suitable courses from some of the very good free online courses now available from various sources such as Coursera. Some examples that seem relevant: Computing for Data Analysis: https://www.coursera.org/course/compdata Mathematics Biostatistics Boot camp: https://www.coursera.org/course/biostats Data Analysis https://www.coursera.org/course/dataanalysis There are also courses covering basic programming, including Python, for example: https://www.coursera.org/course/programming1 HTH, Walter _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: http://mail.python.org/mailman/listinfo/tutor
