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Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance

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(Updated to use Python 3.8) This book is assembled from lectures given by the author over a period of 16 years at the School of Computing of DePaul University. The lectures cover multiple classes, including Analysis and Design of Algorithms, Scientific Computing, Monte Carlo Simulations, and Parallel Algorithms. These lectures teach the core knowledge required by any scientist interested in numerical algorithms and by students interested in computational finance.

376 pages, Paperback

First published November 26, 2013

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Profile Image for Trinadh Immedisetty.
7 reviews34 followers
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July 3, 2019
He was my professor back in Academia, the book is simple and elegant for beginners.
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