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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

FinOps brings financial accountability to the variable spend model of cloud. Used by the majority of global enterprises, this management practice has grown from a fringe activity to the de facto discipline managing cloud spend. In this book, authors J. R. Storment and Mike Fuller outline the process of building a culture of cloud FinOps by drawing on real-world successes and failures of large-scale cloud spenders. Complete with a road map to get you started, this revised second edition includes new chapters that cover forecasting, sustainability, and connectivity to other frameworks.

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.

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.

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.

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.

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 how to master Agile software development practices. This book teaches you how you can adopt Agile development practices into your organization the right way.

We think of fairies as little winged people with magic wands, but Irish fairies were flesh-and-blood extraterrestrials who towered over humans. We knew them as angels, demons, phantoms, mermaids, fairies, gods and not-gods, and the Gentry. Giant, chalk-white humanoids with piercing blue eyes, and flaming red or golden-yellow hair cascading in curls over their shoulders, that’s the true appearance of the ancient fairies of Ireland who came down from the cosmos thousands of years ago.

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.