Prompt Engineering in Practice (MEAP 05)
English | 2026 | ISBN: 9781633436305 | 271 pages | True PDF,EPUB | 42.18 MB
Anyone who's tried to build software on top of an LLM knows that prompts are unpredictable, demanding the exact same discipline and systematic approach as the rest of the engineering stack. Prompt Engineering in Prictice shows you how to design, refine, and manage prompts using proven patterns and practical techniques drawn from real-world AI development.

Prompt Engineering for Everyone: A Self-Taught, Human-Centered Approach to AI Programming
English | 2026 | ISBN: 9798868823374 | 274 pages | PDF | 4.46 MB
Move beyond casual prompt writing and define prompt engineering as a structured, multidisciplinary field with a real social impact. This book uses a clear, practical, and human-centred approach to designing effective prompts for Large Language Models (LLMs) such as ChatGPT and Gemini.

Prompt Engineering Mastery: How to Optimize Interactions with Large Language Models
English | 2026 | ISBN: 9798898813611 | 181 pages | True PDF,EPUB | 7.62 MB
This book explores the conceptual foundations, including clarity, specificity, contextuality, and iterative refinement and the technical underpinnings of contemporary LLMs to present prompt engineering as a fundamental skill for effectively leveraging large language models (LLMs).

Project Maven: A Marine Colonel, His Team, and the Dawn of AI Warfare by Katrina Manson
English | March 29th, 2026 | ISBN: 1324123311 | 416 pages | True EPUB | 3.89 MB
The dramatic story of the secretive decade-long Pentagon campaign to deliver America into the age of AI warfare.

Programming the Arduino Uno Q Using the STM32 and Zephyr for IoT
by Harry Fairhead
English | 2026 | ASIN: B0GMKQCC9M | 295 Pages | PDF | 115 MB

Programming Clojure, Fourth Edition
English | 2026 | ISBN: 9798888651919 | 439 pages | True EPUB | 2.07 MB
Quickly turn complex problems into simple, working solutions using functional programming, safe concurrency, and the expressive tools of Clojure.

Productive Struggle in the K-5 Classroom: Strategies Across the Content Areas
English | 2026 | ISBN: 1041154569 | 217 pages | True PDF,EPUB | 6.83 MB
In today's world of being able to find answers at the click of a button, students need to learn how to grapple with complex concepts. But when is that struggle actually productive, and when is it just frustrating or discouraging? In this important book, bestselling author Barbara R. Blackburn shows how to help elementary students tackle hard topics in ways that will truly aid their learning.

Productive Struggle in the 6-12 Classroom: Strategies Across the Content Areas
English | 2026 | ISBN: 1041196970 | 245 pages | True PDF,EPUB | 9.64 MB
In today's world of being able to find answers at the click of a button, students need to learn how to grapple with complex concepts. But when is that struggle actually productive, and when is it just frustrating or discouraging? In this important book, bestselling author Barbara R. Blackburn shows how to help secondary students tackle hard topics in ways that will truly aid their learning.

Procuring Victory: The Army Quartermaster and the Economics of Expansion in Nineteenth-Century America (Studies in Civil-Military Relations) by John Wendt
English | February 17th, 2026 | ISBN: 0700640851 | 258 pages | True EPUB | 2.01 MB
A groundbreaking study of U.S. Army quartermasters during the wars of the nineteenth century. Historian John Wendt shows how the federal dollars exchanged between military personnel and civilians underwrote American expansion and had profound effects on the course of American military, economic, and social history.

Probability and Optimization for Engineers: Probabilistic Design, Optimum Design, Finite Element Method, Artificial Intelligence
English | 2026 | ISBN: 3119143546 | 229 pages | True PDF,EPUB | 39.65 MB
Probability and Optimization for Engineers covers the fundamentals of probabilistic design and optimum design and methods for high performance design. It presents the principle of finite element method in probabilistic and optimum design with solved specific interactive problems of finite element analysis using ANSYS. It explains artificial intelligence for optimum design using AI algorithms including machine learning, deep learning, artificial neural networks, Bayesian optimum design, Bayesian machine learning optimization, and genetic algorithms.