This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, solving nonlinear equations, and the approximate solution of ordinary differential equations.

An engaging exploration of agency that provides students with the critical tools needed to understand and participate in debates about future machines.

Don't let problem people get to you!

The bestselling introduction to Python programming, revised to include the latest Python features, improved explanations, and new chapters about databases and sound files.

A proven approach used by today's best professional service partners to win, retain, and grow client relationships.

Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel.

Updated in January 2025 with an improved ebook reading experience.

An engaging and approachable resource for beginning-to-intermediate coders eager to learn advanced ideas in computer programming.