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Learning Java
This updated edition introduces the basics of Java and everything necessary to get up to speed on the new 1.4 version quickly. CD contains the Java 2 SDK for Windows, Linux and Solaris.
Cloud Native Infrastructure
Cloud native infrastructure is more than servers, network, and storage in the cloud—it is as much about operational hygiene as it is about elasticity and scalability. In this book, you’ll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. With this book, you will: Understand why cloud native infrastructure is necessary to effectively run cloud native applications Use guidelines to decide when—and if—your business should adopt cloud native practices Learn patterns for deploying and managing infrastructure and applications Design tests to prove that your infrastructure works as intended, even in a variety of edge cases Learn how to secure infrastructure with policy as code
Learning IBM Bluemix
Demystify application development on cloud platform by leveraging the power of IBM Bluemix About This Book The first book in the market that discusses the power of IBM Bluemix Shows developers how to develop and deploy applications on the cloud platform using IBM Bluemix A comprehensive guide to help you get started with IBM Bluemix also featuring samples applications Who This Book Is For This book is aimed at developers seeking to learn application development and deployment methods on IBM Bluemix. A basic knowledge of Java and Node.js is assumed. What You Will Learn Discover IBM Bluemix as a PaaS platform and learn about its three delivery models Develop and deploy a "Hello World" applicat...
HTTP: The Definitive Guide
This guide gives a complete and detailed description of the HTTP protocol and how it shapes the landscape of the Web by the technologies that it supports.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help yo...
Unlearn: Let Go of Past Success to Achieve Extraordinary Results
A transformative system that shows leaders how to rethink their strategies, retool their capabilities, and revitalize their businesses for stronger, longer-lasting success.There’s a learning curve to running any successful business. But when leaders begin to rely on past achievements or get stuck in old thinking and practices that no longer work, they need to take a step back—and unlearn. This innovative and actionable framework from executive coach Barry O’Reilly shows leaders how to break the cycle and move away from once-useful mindsets and behaviors that were effective in the past but are no longer relevant in the current business climate and may now stand in the way of success.With this simple but powerful three-step system, leaders can: 1. Unlearn the behaviors and mindsets that keep them and their businesses from moving forward. 2. Relearn the skills, strategies, and innovations that are transforming the world every day. 3. Break through old habits and thinking by opening up to new ideas, perspectives, and resources. Good leaders know they need to continuously learn. But great leaders know when to unlearn the past to succeed in the future. This book shows them the way.
Laravel: Up & Running
What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to cover Laravel 5.8, the second edition of this practical guide provides the definitive introduction to one of today’s mostpopular web frameworks. Matt Stauffer, a leading teacher and developer in the Laravel community, delivers a high-level overview and concrete examples to help experienced PHP web developers get started with this framework right away. This updated edition also covers Laravel Dusk and Horizon and provides information about...
Data Mesh
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applie...
Learning R
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code
Site Reliability Engineering
The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your ...
