This book offers an ideal starting place for learning the languages that make technology go. Chris Minnick gets you started with a helpful explanation of how coding works and how it's applied in the real-world before setting you on a path toward writing code for web building, mobile application development, and data analysis. This book helps you dig into languages like HTML, CSS, JavaScript, and Python as you learn to design websites, create web and mobile apps, and analyze and visualize data.

<ASIN:1119889561>

In this book George Finney delivers a hands-on and step-by-step guide to implementing an effective and practical Zero Trust security strategy at your organization. The book is written as an engaging narrative that follows the story of Dylan, a new IT Director at a company that experiences a ransomware attack on his first day.

<ASIN:‎ 1119884845>

In this book author Mark Price looks at the most common technologies a .NET developer should know: Blazor, .NET MAUI, gRPC, GraphQL, SQL Server, Cosmos DB, OData, SignalR, and Azure Functions and covers specialized libraries for monitoring and improving performance, securing data and applications, and internationalizing code and apps.

<ASIN:1801813434>

Subtitled "Build Better Robots with Python and Word Blocks", this full-color, illustrated guidebook to programming your robotic creations teaches you everything you need to know to level up your engineering skills.  Barbara Bratzel and Rob Torok show how to code movements for autonomous robot vehicles, building interactive games, making Lego musical instruments.

<ASIN:1718503148>

This book digs into the newest version of Google's amazing TensorFlow framework and shows how to create incredible deep learning applications. Author Thushan Ganegedara uses quirky stories, practical examples, and behind-the-scenes explanations to demystify concepts otherwise trapped in dense academic papers.

<ASIN:1617298344>

This book provides a comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Ayush Bhandar, Achuta Kadambi and Ramesh Raskar cover the fundamentals of the field, current research and applications, and light transport techniques.

<ASIN:0262046474>

This accessible and entertaining book, subtitled "An Amusing Adventure with Coffee-Filled Examples" provides an in-depth introduction to computational thinking through the lens of data structures — a critical component in any programming endeavor. Jeremy Kubica shows how to work with more than 15 key data structures, from stacks, queues, and caches to bloom filters, skip lists, and graphs. 

<ASIN:1718502605>

This guide, which is subtitled "Solving Real-World Problems with Strongly Typed Functional Programming" shows how to put the power of Haskell to work. Rebecca Skinner looks at how to use features like Monad Transformers and Type Families to build useful applications, and explains the benefits of a pure functional language, like protecting your code from side effects.

<ASIN:1680509349>

Subtitled "Build Dashboards with Python and Plotly", this book offers a swift and practical introduction to building interactive data visualization apps.  Adam Schroeder, Christian Mayer and Ann Marie Ward show how to use the Python Dash library to create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.

<ASIN:1718502222>

This book sets out to consider how simple cells in the brain create intelligence. Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. Based on this theory, Hawkins answers important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

<ASIN:1541675797>

This practical introduction to data structures and algorithms builds on Robert Lafore's Java-based guide to explain exactly how data structures and algorithms operate. Dr. John Canning, Alan Broder and Robert Lafore show how to efficiently apply them with Python and scale your code to handle today's big data challenges.

<ASIN:‎ 013485568X>

This book covers the latest developments in compiler technology, with new chapters focusing on semantic elaboration (the problems that arise in generating code from the ad-hoc syntax-directed translation schemes in a generated parser), on runtime support for naming and addressability, and on code shape for expressions, assignments and control-structures. Keith Cooper and Linda Torczon have revised this edition with a fresh approach to learning important techniques for constructing a modern compiler, combining basic principles with pragmatic insights from their own experience building state-of-the-art compilers.

<ASIN:0128154128>