pandas is very good for scientific computing and data analysis, but beware, the documentation quite frankly sucks. Stack overflow seems to be the best way to learn things
The scientific Python environment has very erratic documentation. Matplotlib for example has pages and pages of completely disorganized and often hard to decipher documentation. Examples are very sparse.
Been using Pandas for a few weeks and I...kind of agree. The 10 minute tutorial etc is fine but as soon as you start doing more complicated stuff, you need the API docs. And they leave much to be desired.
I also use Pandas for some of my data analysis and I found that it took me a long time to learn how to use it. Unlike numpy, I just couldn't remember how to do things and had to keep looking things up. Maybe this is just because Pandas has a lot of functionality. But I might waste half an hour trying to write one line of code although that line would do most of my analysis.