Python's expansive library of open source data analysis tools, web frameworks, and testing instruments make its ecosystem one of the largest out of any programming community.
Python is an accessible language for new programmers because of the extensive availability of free and low cost introductory resources. The language is also widely taught in universities and used for working with beginner-friendly devices such as the Raspberry Pi.
Programming languages have unique ecosystems, cultures and philosophies built around them. You will find friction with a community and difficulty in learning if your approach to programming varies from the philosophy of the programming language you've selected.
Python's culture values open source software, community involvement with local, national and international events and teaching to new programmers. If those values are also important to you and/or your organization then Python may be a good fit.
The philosophy for Python is so strongly held that it's even embedded in the language as shown when the interpreter executes "import this" and displays The Zen of Python.
>>> import this The Zen of Python, by Tim Peters Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to break the rules. Although practicality beats purity. Errors should never pass silently. Unless explicitly silenced. In the face of ambiguity, refuse the temptation to guess. There should be one-- and preferably only one --obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Namespaces are one honking great idea -- let's do more of those!
The Python documentation has a HOWTO section specifically for Python advocacy.
How to argue for Python’s use explains that choosing a programming language can be complicated but that Python is a very good option for many use cases.
Why I Push for Python explains one professor's rationale for promoting Python to teach programming to undergraduates.
The PopularitY of Programming Language index shows Python continues to be in widespread usage and has leading indicators according to Google Trends that it is a highly searched for programming language.
CIO Magazine discusses why dynamic languages are increasingly being adopted in enterprise environments.
PayPal covers 10 myths about enterprise Python via their engineering blog.
My DjangoCon 2014 talk focused on overcoming false biases against Python and Django in enterprise environments.
