Persistence theory emerged in the early 2000s as a new theory in the area of applied and computational topology. This book provides a broad and modern view of the subject, including its algebraic, topological, and algorithmic aspects. It also elaborates on applications in data analysis. The level of detail of the exposition has been set so as to keep a survey style, while providing sufficient insights into the proofs so the reader can understand the mechanisms at work. The book is organized into three parts. The first part is dedicated to the foundations of persistence and emphasizes its connection to quiver representation theory. The second part focuses on its connection to applications through a few selected topics. The third part provides perspectives for both the theory and its applications. The book can be used as a text for a course on applied topology or data analysis.

We started making smoothies in 1999. On that first day we sold twenty-four bottles, and now we sell over 2 million a week, so we've grown since then. This book is about the stuff we've learned since selling those first few smoothies. About having ideas and making drinks, about running a business and getting started, about nature and fruit, about company life and working with friends, about the stuff we've got right and the stuff we got wrong, and about squirrels . . . and camping . . . and doing the right thing. We thought we'd write it all down in a book so we don't forget any of it, and to maybe help other people too. We started innocent from scratch, so we've learnt a lot of things by getting stuff wrong. Some other lessons have come from listening carefully to people clever than us. And some stuff we just got lucky on. But all of it, the good the bad and the useful, is in here. Plus, perhaps our mums will finally believe us when we tell them we haven't rung home for a while because we've been a bit busy these past few years.

A simple shift in thinking can change everything you believe about your own happiness. By the time we become adults, most of us have joined the religion of suffering, which preaches that unless circumstances are controlled, life will be a mess. We compare ourselves to others and speculate about an impossible-to-know future, holding out hope for an improved life through getting ahead, fulfilling passion, or finding true love. But the idea that happiness comes from putting effort toward altering one’s circumstances is harmful and backward. What if we instead learned to understand that circumstances can rarely be controlled, and that life is, and always will be, messy? From that starting point, we could learn to use our minds to create happiness despite life’s ever-changing circumstances and events. Life’s Messy, Live Happy by Cy Wakeman is about dramatically changing the level of happiness you feel in your daily life, by learning to disconnect happiness from external forces, stop worrying about the future, and realize that most of your negative feelings are about things that never even happened. Wakeman is a credible, relatable teacher—a business owner, mother, and community member who has lived her philosophy and achieved profound happiness and success in a crazy, messy life. Filled with concrete daily practices and true stories that are hilarious, painful, and poignant, this book will change everything: your perspective, your focus, and your energy level for everyday life.

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.