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Python for Finance: Analyze Big Financial Data
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Python for Finance: Analyze Big Financial Data

3.81  ·  Rating details ·  126 ratings  ·  10 reviews
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. ...more
Paperback, 606 pages
Published January 6th 2015 by O'Reilly Media (first published October 2012)
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Jan 31, 2021 rated it it was amazing
Gives overview on how to achieve daily financial tasks with Python.
Matthieu Brucher
Nov 14, 2018 rated it did not like it
Shelves: non-fiction
My full review is on my blog: ...more
Feb 16, 2018 rated it really liked it
This makes for a very good "grand tour" of a lot of the practical financial uses of a handful of important Python libraries, and illustrates well how to combine the functionality they offer into a fairly coherent financial application library for derivatives valuation. If one doesn't already have at least a bit of background in both Python and some aspects of financial valuation, there may be a little less value for the reader here -- most chapters touch on topics that are worthy of books in the ...more
Dennis Cahillane
Aug 29, 2020 rated it it was amazing
The perfect book for someone who knows math and software engineering, but not the Python Scientific Stack and basic vectorization techniques to optimize backtesting trading algorithms. I recommend typing in the sample code any time you're not 100% following along, even though that is much slower than simply plowing ahead. Also, buy the Kindle version of the book to view the plots in color, I can't distinguish between the line colors in the printed version of the book. ...more
Jacob Lindberg
Oct 30, 2020 rated it really liked it
A good read for any finance Quant. Code examples are great. I like his code style. He builds up the DX package gradually which is pedagogical.
May 25, 2016 rated it liked it
My June "work book" in my work-book-a-month effort, that obviously took me far longer to get through than I thought it would.

Useful intro to Python to someone in the financial field, especially with regard to identifying the 3rd party libraries of interest. Some of the specific financial topics were less interesting to me (e.g., option pricing) than others, and some of the examples--early on especially--would have benefited from immediate use of concrete examples, rather than using random number
Lizi Zhu
Jun 15, 2018 rated it did not like it
The book is awfully written. I have not read a worse written book on a language. Imagine you write something in English and let google translate it into Hawaiian, and then translate that back into English, and then...back and forth for 100 times. This book has to be written in a way aforementioned. It doesn't feel like it's written by a human. I trust a program can write a better book. Ironically, it's a book about language written a computer scientist. Awful. My suggestion is to ignore the expl ...more
Apr 16, 2016 rated it really liked it
I love the quant software that comes with this. Its great that they share all of the data and scripts for you to play along while reading through this well written and informative introduction to pythons never ending usefulness in finance.
Jun 17, 2015 rated it really liked it
Interesting introduction to Pandas library for finance related programs
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