Resilient T-SQL code is code that is designed to last, and to be safely reused by others. The goal of defensive database programming, the goal of this book, is to help you to produce resilient T-SQL code that robustly and gracefully handles cases of unintended use, and is resilient to common changes to the database environment. Too often as developers, we stop work as soon as our code pa

PicoLisp Works is a compilation of (almost) all available information about the technological gem PicoLisp - a programming language and environment that definitely deserves wider attention. Built on the unique characteristics of Lisp (almost no syntax, code is equivalent to data), PicoLisp combines powerful abstractions with simplicity and purity. In a software world that is driven by hy

If you've designed your SQL code intelligently and implemented a sensible indexing strategy, there's a good chance your queries will "fly", when tested in isolation. In the real world, however, where multiple processes can access the same data at the same time, SQL Server often has to make one process wait, sacrificing concurrency and performance in order that all processes can succeed w

With the big data boom, the rise of the Internet of Things (IoT), and the development of artificial intelligence (AI) applications, we've entered a new era of smart data. Unfortunately, not many enterprises are ready for it. Some companies are deficient in data management, while others lack standard data engineering systems. Some simply lag behind in data science. The bottom line is that

Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's Adm

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a student of computational modeling, you'll delve into examples of complex systems through a series of worked example

OpenIntro Statistics provides a traditional college-level introduction to the field of statistics. This widely adopted textbook offers an exceptional and accessible foundation for a diverse range of students, from those at community colleges to attendees of Ivy League institutions. It is estimated that approximately 20,000 students use this thoroughly vetted textbook annually. The book c

The proliferation of multicore processors in the embedded market for Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) makes developing real-time embedded applications increasingly difficult. What is the underlying theory that makes multicore real-time possible? How does theory influence application design? When is a real-time operating system (RTOS) useful? What RTOS features do

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools - useful whe

This book is designed to introduce you to writing programs with the Go programming language. You'll learn how to write useful tools and applications that can run on remote servers, or local Windows, macOS, and Linux systems for development. The topics that it covers include how to: - Install and set up a local Go development environment on Windows, macOS, and Linux systems; - Design your