Science Software

Every SaaS company on earth is careening towards its next revenue plateau. It’s called a Growth Ceiling—a moment in time where growth stops, and you’re losing just as many customers as you’re bringing in. It’s not an opinion—it’s just how recurring revenue businesses work.

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.

Clean Architecture is an essential book for every current or aspiring software architect, systems analyst, system designer, and software manager - and for every programmer who must execute someone else’s designs.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

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.

This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

Effective Software Testing teaches you a systematic approach to software testing that will ensure the quality of your code. It’s full of techniques drawn from proven research in software engineering, and each chapter puts a new technique into practice. Follow the real-world use cases and detailed code samples, and you’ll soon be engineering tests that find bugs in edge cases and parts of code you’d never think of testing! Along the way, you’ll develop an intuition for testing that can save years of learning by trial and error.

Zeke and Harold continue on their quest to reunite with their friends, but what can they do to escape the mysterious and evil minion who hunts them? Can they survive alone? Will anyone help them? Is this their final adventure?

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.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

While most books and press focus on the more sensational moments of creation and conclusion, The Messy Middle argues that the real key to success is how you navigate the ups and downs after initial investment is secured. It will give you all the insights you need to build and optimise your team, improve your product and develop your own capacity to lead. Building on seven years of meticulous research with entrepreneurs, small agencies, start-ups and billion-dollar companies, Scott Belsky offers indispensable lessons on how to endure and thrive in the long term.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

In 1962, Stephanie 'Steve' Shirley created a software company when the concept of software barely existed. Freelance Programmers employed women to work on complex projects such as Concorde's black box recorder from the comfort of their own homes. Shirley empowered a generation of women in technology, giving them unheard of freedom to choose their own hours and manage their own workloads. The business thrived, and Shirley gradually transferred ownership to her staff, creating 70 millionaires in the process.

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.

Baby Zeke returns! It has been many months since Baby Zeke learned he was the warrior in the Balance of The Four. In his new book, Baby Zeke: Return of the Warrior: An Unofficial Minecraft Book, you will learn what Baby Zeke has been doing during his months of silence. And, you will follow his surprising adventures in pursuit of a magical llama.

Dan Kennedy and Parthiv Shah leverage their extensive marketing expertise to teach you proven, no-nonsense strategies for achieving successful marketing automation. This exceptional addition to the No B. S. series is essential for anyone aiming to harness software and cutting-edge technology to elevate their marketing efforts.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

Learn Windows PowerShell in a Month of Lunches, third edition, is an innovative tutorial designed for busy IT professionals. Just set aside one hour a day - lunchtime would be perfect - for a month, and you'll be automating Windows tasks faster than you ever thought possible. This updated edition covers PowerShell features that run on Windows 7, Windows Server 2008 R2 and later, and PowerShell v3 and later, and includes v5 features like PowerShellGet.