Programming Computer Science

The ultimate non-technical guide to the fast-developing world of quantum computing. Computer technology has improved exponentially over the last 50 years. But the headroom for bigger and better electronic solutions is running out. Our best hope is to engage the power of quantum physics. ‘Quantum algorithms' had already been written long before hardware was built.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

With this beginner’s handbook, you’ll learn how to use ChatGPT efficiently and create maximized results. Create natural, human-like conversations, being aware of its limitations and biases, and prepare for the artificial intelligence future.

Have you ever wondered how computers follow instructions so well? Or how they do math so quickly? Basic principles of coding, including variables, binary code, loops, programming languages, and more, are explored in this newest engaging addition to the How Do series.

This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.

Get coding with a hands-on introduction to Scratch. Step-by-step instructions will help young coders pick up Scratch. You'll be writing and directing your own programs in no time!

Our lives are filled with computers! We use them to work, play games, learn, and even drive our cars and heat our homes! At the heart of each of these computers is millions of lines of code telling it what to do. But how does that code work? This series introduces young listeners to the power of code and how it impacts our daily lives.

Can't get enough of coding? If so, a coding club might be the right fit for you! Find out what it takes to join a coding club or start your own, including information on membership, meetings, and activities.

Most of the information available on cloud computing is either highly technical, with details that are irrelevant to nontechnologists, or pure marketing hype, in which the cloud is simply a selling point. This book, however, explains the cloud from the user's viewpoint - the business user's in particular. Nayan Ruparelia explains what the cloud is, when to use it (and when not to), how to select a cloud service, how to integrate it with other technologies, and what the best practices are for using cloud computing.

This book takes the mystery out of computer programming. Learn about coding, algorithms, and more.

Unlock the future of tech with Cloud Computing for Beginners: Learn AWS, Google Cloud, and Azure to Future-Proof Your Career and Business—the ultimate beginner’s guide to mastering the most powerful and in-demand cloud platforms in the world. Whether you’re a student, entrepreneur, IT professional, or career switcher, this audiobook will teach you the fundamentals of cloud computing in a way that’s clear, practical, and instantly applicable.

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.

Simply put, an algorithm is a set of instructions-it's the code that makes computers run. A basic idea that proved elusive for hundreds of years and bent the minds of the greatest thinkers in the world, the algorithm is what made the modern world possible. Without the algorithm, there would have been no computer, no Internet, no virtual reality, no e-mail, or any other technological advance that we rely on every day.

For fans of Educated and Invisible Child, David Sussillo combines memoir and cutting-edge neuroscience to tell the story of his unlikely journey from group homes and drug-addicted parents to the scientific elite—exploring why, and how, he managed to succeed against all odds. David Sussillo has...

Get advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs to code-specific systems. You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code.

Cats can code? These cats sure can! Playful rhyming verse introduce coding languages and syntax. Listeners will learn why we need special languages for coding and examples from a number of languages. And they'll quickly find out why correct syntax is key for avoiding up-mixes mix-ups!

Two of the biggest design problems in Artificial Intelligence are how to build robots that behave in line with human values and how to stop them ever going rogue. One under-explored solution to these alignment and control problems might be to examine how these are already addressed in the design of humans. Robot Souls looks at developments in AI and reviews the emergence of ideas of consciousness and the soul. It places our 'junk code' in this context and argues that it is time to foreground that code, and to use it to look again at how we are programming AI.

No one knows exactly how artificial intelligence will develop, but the answer might be found in the past. Early AI technology dates back to the 1940s, and growth in the field slowly led to the chatbots and generative AI that we know today. How will this technology continue to grow? And how will it be powered? Explore the history of this technology and how it might be used in the future.

Artificial intelligence has existed for decades, and it continues to improve. But the growth of AI technology has created many challenges. AI has taken jobs from humans. When asked a question, AI can generate false or biased answers, depending on the data the AI was trained on. AI can also assist in creating deepfakes, or images, videos, or audio that are fake. Explore the history of AI and what led to its current challenges.

Engineers and scientists have been developing AI since the 1950s, and it has come a long way since then! AI can now assist in everyday life, from self-driving cars to diagnosing illnesses and suggesting treatments. But how does it work? Explore the inner workings of AI, from machine learning and deep learning to artificial neural networks modeled after the human brain.