Showing titles in Programming

READY TO BUILD, SCALE, AND MONETIZE A GAMING STUDIO THAT STANDS THE TEST OF TIME? Ever dreamed of turning your love for games into a profitable venture but aren’t sure how? Want to learn data-driven strategies and lean development processes from someone who’s been in the trenches—risking it all, pivoting under pressure, and eventually thriving in the hyper-competitive gaming market? If your answer is YES, then From Indie Studio to Gaming Empire is your roadmap to success. Mobile gaming is a billion-dollar industry with infinite opportunities—but it’s not just about coding.

Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’ highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting.

In a world of digital overload and never-ending work demands, Microsoft Copilot stands as a breakthrough in productivity. What once took hours—summarizing reports, formatting presentations, calculating forecasts—can now be done in minutes with precision and personalization. This book is a guide for professionals ready to integrate AI into their daily work, not as a novelty, but as a core tool for speed, clarity, and strategic thinking.

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.

Unlock the World of Neural Networks in Python! Ready to dive into AI and machine learning? This guide makes it easy, even if you're a Python pro or a total beginner!

Welcome to the wonderful world of hacking, a seemingly magical world, crafted out of the heart of mystery and wonder, but an oh so very real world where those who hesitate for even just a moment end up in very deep doo-doo, and only the elite have what it takes to survive!

Learning Agile is a comprehensive guide to the most popular agile methods, written in a light and engaging style that makes it easy for you to learn. Agile has revolutionized the way teams approach software development, but with dozens of agile methodologies to choose from, the decision to "go agile" can be tricky. This practical book helps you sort it out, first by grounding you in agile's underlying principles, then by describing four specific - and well-used - agile methods: Scrum, extreme programming (XP), Lean, and Kanban. 

¡Ayuda a Vic y a sus amigos a resolver los misterios del Parque Monstruoso! Vic vivía tranquila hasta el día en que su hermano Zach desaparece sin más, ¡pluf! Todas las pistas indican que iba a un parque de atracciones abandonado a las afueras de la ciudad, el Parque Monstruoso. Con sus...

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.

An inside look at modern open-source software developers - and their influence on our online social world. Open-source software in which developers publish code that anyone can use has long served as a bellwether for other online behavior. In the late 1990s, it provided an optimistic model for public collaboration, but in the last 20 years it shifted to solo operators who write and publish code that's consumed by millions.

Agentic AI goes beyond simply automating tasks. It can plan, make decisions, take action, and adapt to new information. AI agents are capable of collaborating with other agents, systems, and people—reshaping how work gets done and how value is created. The rise of these digital workers will have a profound effect on industries, roles, and organizations of all sizes.

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.

Go in Action is for any intermediate-level developer who has experience with other programming languages and wants a jump-start in learning Go or a more thorough understanding of the language and its internals. This book provides an intensive, comprehensive, and idiomatic view of Go. It focuses on the specification and implementation of the language, including topics like language syntax, Go's type system, concurrency, channels, and testing.

Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.

You can learn the most popular frameworks, use the best programming languages, and work at the biggest tech companies, but if you cultivate bad habits, it will be hard for you to become a top developer. This book doesn't offer a straight path or pre-defined formula of success. This book is a result of a quest. A quest to uncover what habits can be cultivated to become a better software engineer.

Doug and Chuck are a couple of normal guys who happen to run a successful software development company. The thing is, they don't live in Silicon Valley. They don't have MBAs. And neither of them knows anything about computer programming. Oh, and Doug and Chuck aren't their real names. This audiobook outlines an eight-step process that enables someone with absolutely no knowledge of computer programming to start and run a successful mobile software business.

Every minute you spend trying to figure out how to set up a new track or build a drum loop is a minute you don't spend creating and recording your music. This guide to the recording software favored by Mac users helps you bypass the time needed to search for tech answers and spend more time capturing sounds. Discover the full recording power of Logic Pro, starting with launching a project and recording your audio. 

Are you looking to expand your skill set to increase your value in the job market? If you have a knack for problem-solving, coding can be a rewarding and fun skill to learn. Coding is one of the most in-demand skills that employers are looking for, and they are willing to pay for it. Monster.com, a popular job search site, reports that jobs requiring coding skills pay an average of $22,000 more per year, compared to other noncoding jobs.

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka.

In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm.