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Published on Wed, 04 Jun 2014 08:36:04 GMT Indexed on 2014/06/04 21:26 UTC
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I picked Python in Finance from Packt Publishing to review expecting to bore myself with complex algorithms and senseless formulas while seeing little actual Python in action, indeed at 400 pages plus it may seem so. But, it turned out to be quite the opposite. I learned a lot about practical implementations of various Python modules as SciPy, NumPy and several more, I think they empower a developer a lot. No wonder Python is on the track to become a de-facto scientist language of choice! But I am not going to compromise the truth, the book does discuss numerous financial terms, many of them, and this is where the enormous power of this book is coming from: it is like standing on the shoulders of a giant. Python is that giant - flexible and powerful, yet very approachable. The TOC is very detailed thanks to Packt, any one can see what financial algorithms are covered, I am only going to name a few which I had most fun with (though all of them are covered in enough details): Fama*, Fat Tail, ARCH, Monte-Carlo and of course the volatility smile!
I am under an impression this book is best suited for students in Finance, especially those who are about to join the workforce, but I suspect the material in this book is very well suited for mature Financists, an investor who has some programming skills and wants to benefit from it, or even a programmer, or a mathematician who already knows Python or any other language, but wants to have fun in Quantitative Finance and earn a few buck!
Pure fun, real results, tons of practical insight from reading data from a file to downloading trade data from Yahoo!
Lastly, I need to complement Yuxing – he is a talented teacher, this book could not be what it is otherwise.
It is a 5 out of 5 product.
Disclaimer: I received a free copy of this book for review purposes from the publisher.
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