This book asks whether advances in technology are working for us or against us. Robert Edward Grant and Michael Ashley team up to explore significant questions such as will self-driving cars help us maximize our time and get to our destination safely, or will they erode the autonomy and freedom we feel when we drive ourselves, and what happens if the government, in the name of public health, gains access to the data in our handy fitness trackers and uses it to reward or limit us.

<ASIN:1639080341>

This book, subtitled "Develop, deliver, discuss, design, and go again" is a hands-on guide to shipping Go-based software. Joel Holmes shows how to build and upgrade an automated software delivery pipeline that supports containerization, integration testing, semantic versioning, and automated deployment. He looks at how to put continuous delivery and continuous integration into action, with guidance on automating your team’s build and reacting with agility to customer demands.

<ASIN: 1617299502>

Subtitled "Advance your skills and write effective automated tests with Vitest, Playwright, and Cucumber.js", this book shows how to build robust and performant applications by developing SvelteKit applications using automated testing and TDD techniques, including unit and end-to-end testing, custom matchers, component mocking, and authentication. Daniel Irvine shows how to use the test-driven development (TDD) workflow, and covers the principles of unit testing with Vitest and end-to-end testing using Playwright and Cucumber.js.

<ASIN:1837638330 >

This book, subtitled "How Wi-Fi Became the World’s Most Beloved Technology" tells the international story of the people who created Wi-Fi, their early battles against skeptical opponents, and how it ultimately exploded across the globe to become synonymous with the internet itself—as told by one of Wi-Fi’s central figures. Greg Ennis tells of the techno/political conflicts at its birth, the battles against competing technologies as it was being nurtured, and the international diplomatic intrigue as it spread across the planet.

<ASIN:B0CCCS2G48>

Subtitled "63 techniques to improve your Python code", this book walks the reader through the most important coding techniques in Python. Dr. Yong Cui looks at techniques for data science, building web applications, and writing admin scripts among many other “how-to” questions and answers. In the book you’ll find important insights into both Python basics and deep-dive topics to help you skill-up at any stage of your Python career.

<ASIN:161729974X>

In this 10th anniversary edition, updated with 50% new content for R 4.0.0 and beyond, Brett Lantz looks at what's needed for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. It features several new chapters that reflect the progress of machine learning in the last few years to help readers build their data science skills and tackle more challenging problems, including making successful machine learning models, advanced data preparation and making use of big data.

<ASIN:1801071322 >

In this book, the Kodeco team show how to use Apple's software debugger, LLDB, to find bugs faster, and discuss how other developers have solved problems similar to yours. The book also covers how to create custom debugging scripts to find the secrets behind any bit of code that piques your interest.

<ASIN:1950325636>

This book guides the reader through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Gary Hutson and Matt Jackson provide practical use cases and examples to illustrate how to design optimal graph models capable of supporting a wide range of queries and features. In addition to showing how to manage a persistent graph database using Neo4j, the book also looks at adapting your network model to evolving data requirements.

<ASIN:‎ 1804618039 >

This book offers a firm grounding in the fundamentals of database while at the same time providing a wide-ranging survey of database subfields relevant to information systems professionals. In the newly revised third edition, Dr. Mark Gillenson delivers an authoritative and comprehensive account of contemporary database management. 

<ASIN:‎ 1119907462 >

This book takes the design and analyses of algorithms to the level of predictable practical efficiency, discussing core and classic algorithmic problems that arise in the development of big data applications, and presenting elegant solutions of increasing sophistication and efficiency. Paolo Ferragina analyzes solutions within the classic RAM model, and the more practically significant external-memory model that allows one to perform I/O-complexity evaluations.

<ASIN:1009123289>

This guide to the recording software favored by Mac users helps readers bypass the time needed to search for tech answers and spend more time capturing sounds. Graham English explains the full recording power of Logic Pro, starting with launching a project and recording your audio. He helps you explore the built-in digital instruments and beat makers, augment your recording power with plug-ins, and finalize your song by editing, adding effects, mixing, mastering, and sharing.

<ASIN:1394162103>

This book sets out to teach students to code in both R and Python simultaneously. Taylor R. Brown presumes no prior experience with computing, and the book is intended to be used by students from a variety of backgrounds. The "Side-By-Side Approach" subtitle refers to the use of layout to help readers grasp the basics of R and Python. Exercises are provided to help students to teach themselves the skills they will need.

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