YOUR PRACTICAL, HANDS-ON GUIDE TO WRITING APPLICATIONS USING GO Google announced the Go programming language to the public in 2009, with the version 1.0 release announced in 2012. Since its announcement to the community, and the compatibility promise of the 1.0 release, the Go language has been used to write scalable and high-impact software programs ranging from command-line applications and critical infrastructure tools to large-scale distributed systems. It’s speed, simplicity, and reliability make it a perfect choice for developers working in various domains. In Practical Go - Building Scalable Network + Non-Network Applications, you will learn to use the Go programming language to build robust, production-ready software applications. You will learn just enough to building command line tools and applications communicating over HTTP and gRPC. This practical guide will cover: Writing command line applications Writing a HTTP services and clients Writing RPC services and clients using gRPC Writing middleware for network clients and servers Storing data in cloud object stores and SQL databases Testing your applications using idiomatic techniques Adding observability to your applications Managing configuration data from your applications You will learn to implement best practices using hands-on examples written with modern practices in mind. With its focus on using the standard library packages as far as possible, Practical Go will give you a solid foundation for developing large applications using Go leveraging the best of the language’s ecosystem.

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

Whether you have some experience with Tableau software or are just getting started, this manual goes beyond the basics to help you build compelling, interactive data visualization applications. Author Ryan Sleeper, one of the worldâ??s most qualified Tableau consultants, complements his web posts and instructional videos with this guide to give you a firm understanding of how to use Tableau to find valuable insights in data. Over five sections, Sleeperâ??recognized as a Tableau Zen Master, Tableau Public Visualization of the Year author, and Tableau Iron Viz Championâ??provides visualization tips, tutorials, and strategies to help you avoid the pitfalls and take your Tableau knowledge to the next level. Practical Tableau sections include: Fundamentals: get started with Tableau from the beginning Chart types: use step-by-step tutorials to build a variety of charts in Tableau Tips and tricks: learn innovative uses of parameters, color theory, how to make your Tableau workbooks run efficiently, and more Framework: explore the INSIGHT framework, a proprietary process for building Tableau dashboards Storytelling: learn tangible tactics for storytelling with data, including specific and actionable tips you can implement immediately

Concurrency can be notoriously difficult to get right, but fortunately, the Go open source programming language makes working with concurrency tractable and even easy. If you’re a developer familiar with Go, this practical book demonstrates best practices and patterns to help you incorporate concurrency into your systems. Author Katherine Cox-Buday takes you step-by-step through the process. You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems. Learn the skills and tooling you need to confidently write and implement concurrent systems of any size. Understand how Go addresses fundamental problems that make concurrency difficult to do correctly Learn the key differences between concurrency and parallelism Dig into the syntax of Go’s memory synchronization primitives Form patterns with these primitives to write maintainable concurrent code Compose patterns into a series of practices that enable you to write large, distributed systems that scale Learn the sophistication behind goroutines and how Go’s runtime stitches everything together

"A scathingly honest memoir of entrepreneurship's dark reality... I would advise every entrepreneur--or anyone who dreams of becoming one--to read this book." --Eric Schurenberg - CEO, Fast Company and Inc. A young tech entrepreneur's memoir of building his hugely successful company and the mental and physical price he paid for it At the age of twenty-six, John Roa was an aspiring but struggling entrepreneur. He was broke, racking up debt, and ready to give up on his dream of being self-made. In a final effort, he founded the design firm ÄKTA, which quickly became one of the fastest growing startups in America, and just five years later, he sold it for a fortune to Salesforce, the largest company in San Francisco. This is his account of rising from a self-described below-average student to becoming a poster boy for the successful young entrepreneur, while nearly destroying himself in the process. His journey is an absurd, twisting, and often comical story of talent, luck, rapidly changing technology, larger-than-life personalities, sex, gambling, and excessive alcohol and drug consumption—which ultimately took their toll, resulting in a spectacular burnout that he almost didn’t survive. As he healed in the aftermath, he began to question the ethos that had brought him to that dark place, and over time, came to realize how common these debilitating issues are in entrepreneurship, even if they are rarely discussed openly. Rather than another glamorous rags-to-riches saga, A Practical Way to Get Rich . . . and Die Trying is a cautionary and deeply honest memoir about the price of success for ambitious young people, who are so often unprepared for the adversity, mental health issues, and abuse that can come along with “making it.” It also serves as the foundation for a campaign of honesty and vulnerability, in an industry that currently lacks both.

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Today’s global organizations operate at an extraordinary level of complexity. They not only contend with diverse languages, cultures, and political/legal situations, they must also deal with differences based on national boundaries, organizational size, product and services mix, functional specialization, and customer sets. Going Global offers human resource professionals and I/O psychologists a comprehensive resource for meeting the challenges of the global work environment. Edited by Kyle Lundby, along with Jeff Jolton and a team of leading-edge practitioners, this comprehensive volume uses the employee lifecycle as an underlying framework and is organized into three sections: Practical considerations for HR and OD practitioners in a global environment; Attracting and selecting global talent; and Maximizing performance in the global workplace. Within each section, authors explore key cornerstones of I/O practice (e.g., selection, leadership development) applied to the global workplace. Going Global outlines the best practices in the field and is filled with down-to-earth advice from those who have worked in the field. The book not only provides insightful analysis of such broad topics as what it means to be global and HR’s strategic role in global organizations, it examines the undercurrent of culture and its pervasive influence on organizations and the people that comprise them. Going Global also contains valuable information on global employee attraction, selection, and retention strategies, as well as current thinking about intercultural competence training, work-family balance, and the expatriate experience. Going Global doesn’t offer a one-size-fits-all approach but rather includes many strategies and solutions that can apply to a wide variety of situations and organizations. Going Global offers firms a roadmap for creating a winning program for international success.

Learn how to design complex, correct programs and fix problems before writing a single line of code. This book is a practical, comprehensive resource on TLA+ programming with rich, complex examples. Practical TLA+ shows you how to use TLA+ to specify a complex system and test the design itself for bugs. You’ll learn how even a short TLA+ spec can find critical bugs. Start by getting your feet wet with an example of TLA+ used in a bank transfer system, to see how it helps you design, test, and build a better application. Then, get some fundamentals of TLA+ operators, logic, functions, PlusCal, models, and concurrency. Along the way you will discover how to organize your blueprints and how to specify distributed systems and eventual consistency. Finally, you’ll put what you learn into practice with some working case study applications, applying TLA+ to a wide variety of practical problems: from algorithm performance and data structures to business code and MapReduce. After reading and using this book, you'll have what you need to get started with TLA+ and how to use it in your mission-critical applications. What You'll LearnRead and write TLA+ specsCheck specs for broken invariants, race conditions, and liveness bugsDesign concurrency and distributed systemsLearn how TLA+ can help you with your day-to-day production work Who This Book Is For Those with programming experience who are new to design and to TLA+. /div

Forget the 10,000 hour rule— what if it’s possible to learn the basics of any new skill in 20 hours or less? Take a moment to consider how many things you want to learn to do. What’s on your list? What’s holding you back from getting started? Are you worried about the time and effort it takes to acquire new skills—time you don’t have and effort you can’t spare? Research suggests it takes 10,000 hours to develop a new skill. In this nonstop world when will you ever find that much time and energy? To make matters worse, the early hours of prac­ticing something new are always the most frustrating. That’s why it’s difficult to learn how to speak a new language, play an instrument, hit a golf ball, or shoot great photos. It’s so much easier to watch TV or surf the web . . . In The First 20 Hours, Josh Kaufman offers a systematic approach to rapid skill acquisition— how to learn any new skill as quickly as possible. His method shows you how to deconstruct com­plex skills, maximize productive practice, and remove common learning barriers. By complet­ing just 20 hours of focused, deliberate practice you’ll go from knowing absolutely nothing to performing noticeably well. Kaufman personally field-tested the meth­ods in this book. You’ll have a front row seat as he develops a personal yoga practice, writes his own web-based computer programs, teaches himself to touch type on a nonstandard key­board, explores the oldest and most complex board game in history, picks up the ukulele, and learns how to windsurf. Here are a few of the sim­ple techniques he teaches: Define your target performance level: Fig­ure out what your desired level of skill looks like, what you’re trying to achieve, and what you’ll be able to do when you’re done. The more specific, the better. Deconstruct the skill: Most of the things we think of as skills are actually bundles of smaller subskills. If you break down the subcompo­nents, it’s easier to figure out which ones are most important and practice those first. Eliminate barriers to practice: Removing common distractions and unnecessary effort makes it much easier to sit down and focus on deliberate practice. Create fast feedback loops: Getting accu­rate, real-time information about how well you’re performing during practice makes it much easier to improve. Whether you want to paint a portrait, launch a start-up, fly an airplane, or juggle flaming chain­saws, The First 20 Hours will help you pick up the basics of any skill in record time . . . and have more fun along the way.