Manning Publications

The AI Pocketbook - by Emmanuel Maggiori (Paperback)

A Simple Guide to Retrieval Augmented Generation - by Abhinav Kimothi (Paperback)

Designing Deep Learning Systems - by Chi Wang & Donald Szeto (Paperback)

Using the Ti-84 Plus - 2nd Edition by Christopher Mitchell (Paperback)

Go by Example - by Inanc Gumus (Paperback)

C# Concurrency - by Nir Dobovizki (Paperback)

Learn Generative AI with Pytorch - by Mark Liu (Paperback)

Interview Speak - by Barbara Limmer & Laura Browne (Paperback)

Build Financial Software with Generative AI (from Scratch) - by Chris Kardell & Mark Brouwer (Paperback)

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

Grokking Data Structures - by Marcello La Rocca (Paperback)

Cyber Threat Hunting - by Nadhem Alfardan (Paperback)

Machine Learning Algorithms in Depth - by Vadim Smolyakov (Paperback)

Starting Data Analytics with Generative AI and Python - by Artur Guja & Marlena Siwiak & Marian Siwiak (Paperback)

100 Go Mistakes and How to Avoid Them - by Teiva Harsanyi (Paperback)

Simple Object-Oriented Design - by Mauricio Aniche (Paperback)

Code Like a Pro in Rust - by Brenden Matthews (Paperback)

Duckdb in Action - (In Action) by Mark Needham & Michael Hunger & Michael Simons (Paperback)

Learn Go with Pocket-Sized Projects - by Aliénor LaTour & Donia Chaiehloudj & Pascal Bertrand (Paperback)

CSS in Depth, Second Edition - 2nd Edition by Keith J Grant (Paperback)

Elixir in Action, Third Edition - 3rd Edition by Sasa Juric (Paperback)

Math and Architectures of Deep Learning - by Krishnendu Chaudhury (Paperback)

Pandas Workout - by Reuven Lerner (Paperback)

BDD in Action, Second Edition - 2nd Edition by John Ferguson Smart & Jan Molak (Paperback)