Showing results for "computer science" in Software Development

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

The first time I used a computer, it intrigued me to know how these interfaces work. In this audiobook, you’ll learn the same way I did.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit.

Stop Watching Colleagues Get Ahead With AI While You're Still Struggling With Basic PromptsThe gap between AI-savvy professionals and everyone else is widening daily. Those who master these tools now will dominate their fields for years to come. Those who wait will spend that time catching up."The 30 • Day AI Decoder" is your systematic roadmap from AI confusion to AI mastery—specifically designed for non-technical professionals, entrepreneurs, and creators who need real results, not theory.

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.

Starting a career as a software engineer without a computer science degree is a long and difficult journey, Hasan Armstrong discovered this whilst attempting to switch from a career in healthcare to software engineering. He now works as a software engineer and incorporates all the lessons he has learnt in this book. This book will provide a road map to getting a job as a software engineer without a computer science degree, as well as providing solutions to the obstacles you may face along the way.

Most people struggle with AI because they don't know how to talk to it. This hands-on beginner's guide gives you the tools, confidence, and structure to get real results from today's most powerful AI tools, no tech skills required. The AI Workshop is your plain-language guide to mastering prompt engineering, the skill that turns vague AI requests into powerful results. Whether you're a student, business owner, creative professional, or simply curious about AI, this book shows you how to stop guessing and start getting consistent, high-quality outputs.

Harness the full potential of generative AI to improve your productivity, transform your career, and boost your creativity! Brought to you by the Amazon bestselling author of Essentials of AI for Beginners, this practical, engaging guide makes generative AI easy to understand and use—no matter your background, goals, or starting point. This book stands out for its in-depth yet accessible content, so you can learn core concepts without the jargon. It also includes real-world use cases to discover how AI is already transforming diverse industries. This title also offers a balanced perspective.

The Secret Science of Games is an accessible and entertaining guide to the hidden role of science in making games more fun. User experience (UX) research is a vital part of the story of how video games have become a cultural juggernaut, but game developers generally don’t speak publicly about how data shapes game design and game development.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

For a beginner, programming can seem like something scary or hard to do. With all the technical terms and concepts out there, as well as the numerous programming languages available at your disposal, it is so important - now more than ever before - to build a strong foundation. When you understand the fundamentals of programming, learning any programming language is a piece of cake. In addition, programming is not just all about coding; it is also about knowing how to plan your work, how to set deadlines, how to communicate with team members, how to use existing components, etc.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.

If you want to learn how to program in Python, but don't know where to start read on. Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained.

Have you ever wanted to create your own computer software, app, or website? In this day and age where technology is integrated into the foundation of our lives, have you ever thought to yourself, “How do I create the next WhatsApp?” or “How do I create the next Facebook?”

Explore the cutting-edge world of quantum computing in Quantum Computing: The Next Frontier. This comprehensive guide demystifies the principles of quantum mechanics, showcases real-world applications, and highlights the leading companies revolutionizing the field. From cryptography to artificial intelligence, discover how quantum computing is poised to reshape industries and solve humanity’s most complex challenges. Whether you're a curious beginner or a tech enthusiast, this book provides an accessible roadmap to understanding the quantum revolution.

Artificial Intelligence (AI) is rapidly transforming how projects are managed across industries. Project managers and team leaders are discovering that AI-powered tools can shoulder much of the “grunt work” – from drafting project plans to summarizing status updates – allowing human teams to focus on strategic decision-making and creative problem-solving. In my years of leading teams both in the military and corporate world, I’ve learned the value of leveraging the right tools to multiply a team’s effectiveness.

Grab this layman guide. Sound interesting? The author thinks so too! Listen to Machine Learning and learn about machine and information theory.

Grab this layman guide. Sound interesting? The author thinks so too! Listen to Machine Learning: Machine Learning in 2020, Vol 1 and learn about machine theory and computer networks.

The convergence of Artificial Intelligence and Software-as-a-Service represents one of the most significant technological shifts of our time. As we stand at the intersection of these two revolutionary paradigms, we witness the emergence of a new category of business solutions that promise to reshape industries, redefine competitive advantages, and fundamentally alter how organizations operate.