Adding to this: yes, the book should serve as a good intro to Python for people with an equities background. But it should also useful for people with a different financial background.
20 karma · joined May 1, 2014
The book mainly covers chapter by chapter "all you need" to do Finance with Python. From data structures, performance Python, (Bayesian) statistics, stochastics to Excel integration and Web technologies.
It also provides -- in addition to many smaller examples and use cases -- a larger case study about a complete, integrated derivatives pricing library.
Here the table of contents as it stands now (work still in progress! Early Release covers chapters 4-7, 1-3 and 8 will be added soon):