There are many, many tutorials. I won't even try to summarize them. They're generally good. And the more you read, the more you learn.
Moving past the n00bz needs, there are some more advanced books. Here's a collection for generalists:
My suggestion is to master the general features of the language overall.
Focus on specific things (Django, NLTK, SciPy, Maya, Scrapy, MatPlotLib, etc.) can follow.
I worry that early exposure to some of the details of Python-based packages may obscure the fundamentals of using the language properly. Perhaps that worry is misplaced. I know that the NLTK Book has numerous good examples of Python which are independent of the NLTK focus.