This book sets out to unlock the mysteries of theoretical physics by coding the underlying math in Haskell. Scott Walck shows how to use Haskell’s type system to check that your code makes sense. Walck explains Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.
<ASIN:1718501668>
Author: Scott Walck Publisher: No Starch Press Date: January 2023 Pages: 648 ISBN: 9781718501669 Print:1718501668 Kindle: B09WJWSFW8 Audience: People interested in physics Level: Intermediate/Advanced Category: Other Languages and Mathematics
Topics include:
 Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equations
 Express fundamental physical principles using the logic of Haskell’s type system to clarify Newton’s second law, Coulomb’s law, the BiotSavart law, and the Maxwell equations
 Use higherorder functions to express numerical integration and approximation methods, such as the Euler method and the finitedifference timedomain (FDTD) method
 Create graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic field
For recommendations of functional programming books see First Class Functional Programming Books in our Programmer's Bookshelf section.
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@iprogrammer.info
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
JavaScript: The New Toys
Author: T.J. Crowder Publisher: Wrox Date: July 2020 Pages: 260 ISBN: 9781119367956 Print: 1119367956 Kindle: B08C9PH74Z Audience: Experienced JavaScript developers Rating: 4.5 Reviewer: Mike James Great title! Can the book be as good?

Grokking Machine Learning
Author: Luis G. Serrano Publisher: Manning Date: December 2021 Pages: 512 ISBN: 9781617295911 Print: 1617295914 Kindle: B09LK7KBSL Audience: Python developers interested in machine learning Rating: 5 Reviewer: Mike James Another book on machine learning  surely we have enough by now?
 More Reviews 
