Annotated Algorithms in Python, 2nd Edition
With applications in Physics, Biology, and Finance
Book Details
| Author | Massimo Di Pierro |
| Published | 2021 |
| Edition | 2nd |
| Paperback | 376 pages |
| Language | English |
| ISBN-13 | 9780991160402 |
| ISBN-10 | 0991160401 |
| License | Creative Commons Attribution-NonCommercial-NoDerivatives |
Book Description
This open 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.
The algorithms you will learn can be applied to different disciplines. Throughout history, it is not uncommon that an algorithm invented by a physicist would find application in, for example, biology or finance.
This book is available under a Creative Commons Attribution-NonCommercial-NoDerivatives license (CC BY-NC-ND), which means that you are free to copy and distribute it, as long as you attribute the source, don't use it commercially, and don't create modified versions.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
Download and Read Links
Share this Book
[localhost]# find . -name "*Similar_Books*"
Cloud Native DevOps with Kubernetes, 2nd Edition
Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show you what Kubernetes can do-and what you can do with it. This updated second edition guides you through the gro
Algorithms
Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This book is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the proble
Scientific Computing for Chemists with Python
Scientific computing utilizes computers to aid in scientific tasks such as data processing and digital simulations, among others. The well-developed field of computational chemistry is part of scientific computing and focuses on utilizing computing to simulate chemical phenomena and calculate properties. However, there is less focus in the field of
Biopython: Tutorial and Cookbook
Biopython is a collection of freely available Python modules for computational molecular biology. Python is an object oriented, interpreted, flexible language that is widely used for scientific computing. Python is easy to learn, has a very clear syntax and can easily be extended with modules written in C, C++ or FORTRAN. Since its inception in 200
Modeling and Simulation in Python
Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling - that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simult
Programming for Computations - Python, 2nd Edition
This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapte