Updating Pandas dependencies after installing pandas
If your version of pandas is old (i.e., not 0.13.1), you should definitely update it to take advantage of any new features/optimizations of the dependencies, and any new features/bug fixes of pandas itself. It is a very actively-maintained project, and there are issues with older versions being fixed all the time.
Of course, if you have legacy code that depends on an older version, you should test it in a virtualenv with the newer versions of pandas and the dependencies before updating your production libraries, but at least in my experience the newer versions are pretty backwards-compatible, as long as you're not relying on buggy behavior.
Pandas has a number of dependencies, e.g matplotlib, statsmodels, numexpr etc.
Say I have Pandas installed, and I update many of its dependencies, if I don't update Pandas, could I run into any problems?