- Category: Python Programming
- Author: Massimo Di Pierro
- License: CC BY-NC-ND 3.0
- Pages: 388 pages
- File type: PDF (388 pages)
Read and download free eBook intituled Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance in format PDF (388 pages) – 388 pages created by Massimo Di Pierro.
This book is assembled from lectures given by the author over a period of 10 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.
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Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance