[Baypiggies] Some interesting facts about Enterprise Python

[Tony Cappellini]

I'm sure many of you have already seen this "10 Myths of Enterprise Python"

https://www.paypal-engineering.com/2014/12/10/10-myths-of-enterprise-python/

>From that article, Myth #10 stands out over all of the others
Myth #10
<https://www.paypal-engineering.com/2014/12/10/10-myths-of-enterprise-python/#python-not-for-big-projects>:
Python is not for big projects

In particular, this

"Bank of America actually has over 5,000 Python developers, with over 10
million lines of Python in one project alone
<http://news.efinancialcareers.com/us-en/173476/investment-banking-tech-guru-quits-starts-firm/>.
JP Morgan underwent a similar transformation
<http://www.quora.com/When-why-and-to-what-extent-did-Bank-of-America-rebuild-its-entire-tech-stack-with-Python>.
YouTube also has engineers in the thousands and lines of code in the
millions
<http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html>.
Big products and big teams use Python every day, and while it has excellent
modularity and packaging characteristics, beyond a certain point much of
the general development scaling advice stays the same. Tooling, strong
conventions, and code review are what make big projects a manageable
reality."
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