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

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.

Pages :	/Paperback 388 pages
Size :	PDF (388 pages)
Downloads:	197
Created:	2020-08-27
License:	CC BY-NC-ND 3.0
Author(s):	Massimo Di Pierro

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263

Download file

Others related eBooks about Annotated Algorithms in Python: with Applications in Physics, Biology, and Finance

Annotated Algorithms in Python

This book is assembled from lectures given by the author over a period of 10 years at the ..., download free Python tutorial in PDF (388 pages) created by Massimo Di Pierro .

Think Python

Download free course Think Python, pdf file on 244 pages by Allen Downey.

Automate the Boring Stuff with Python: Practical Programming for Total Beginners

If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

Hacking Secret Ciphers with Python

There are many books that teach beginners how to write secret messages using ciphers. Ther..., download free Python tutorial in PDF (440 pages) created by .

Deep Learning with Python

This book introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concept