SAFe(R) Coaches Handbook. Proven tips and techniques for launching and running SAFe® Teams, ARTs, and Portfolios in an Agile Enterprise

Darren Wilmshurst, Lindy Quick, Dean Leffingwell

The Scaled Agile Framework (SAFe®) is widely recognized as an eff ective methodology for implementing Agile practices at the Enterprise level. However, the complexity of SAFe® can make it challenging for Teams and organizations to determine which practices can be safely adapted to their unique needs. Although SAFe® is a framework rather than a set of rules, promoting adaptation, it’s crucial to understand why SAFe® practices are designed the way they are along with the consequences of modifying them.The SAFe® Coaches Handbook is a comprehensive resource that goes beyond a how-to guide, providing a deep understanding of SAFe® principles and practices. The chapters are designed in a way to teach you how to successfully implement SAFe® in your organization and eff ectively manage the Team’s Backlog while avoiding common pitfalls. You’ll discover optimal ways to create SAFe® Teams and run successful Events. You’ll also learn how to plan Agile Release Trains (ARTs), manage the ART Backlog, conduct PI Planning, and grasp the importance of Value Stream Identifi cation in driving value delivery.By the end of this book, you’ll be armed with practical tips and advice to help you successfully customize the Scaled Agile Framework to your Enterprise’s needs while preserving the aspects that make it work successfully.

Python Reinforcement Learning. Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

Sudharsan Ravichandiran, Sean Saito, Rajalingappaa Shanmugamani, Yang Wenzhuo

Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms.The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL.By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems.This Learning Path includes content from the following Packt products:• Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran• Python Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa Shanmugamani

React Design Patterns and Best Practices. Design, build and deploy production-ready web applications using standard industry practices - Second Edition

Carlos Santana Roldán

React is an adaptable JavaScript library for building complex UIs from small, detached bits called components. This book is designed to take you through the most valuable design patterns in React, helping you learn how to apply design patterns and best practices in real-life situations.You’ll get started by understanding the internals of React, in addition to covering Babel 7 and Create React App 2.0, which will help you write clean and maintainable code. To build on your skills, you will focus on concepts such as class components, stateless components, and pure components. You'll learn about new React features, such as the context API and React Hooks that will enable you to build components, which will be reusable across your applications. The book will then provide insights into the techniques of styling React components and optimizing them to make applications faster and more responsive. In the concluding chapters, you’ll discover ways to write tests more effectively and learn how to contribute to React and its ecosystem.By the end of this book, you will be equipped with the skills you need to tackle any developmental setbacks when working with React. You’ll be able to make your applications more flexible, efficient, and easy to maintain, thereby giving your workflow a boost when it comes to speed, without reducing quality.

F# for Machine Learning Essentials. Get up and running with machine learning with F# in a fun and functional way

Sudipta Mukherjee

The F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs.If you want to learn how to use F# to build machine learning systems, then this is the book you want. Starting with an introduction to the several categories on machine learning, you will quickly learn to implement time-tested, supervised learning algorithms. You will gradually move on to solving problems on predicting housing pricing using Regression Analysis. You will then learn to use Accord.NET to implement SVM techniques and clustering. You will also learn to build a recommender system for your e-commerce site from scratch. Finally, you will dive into advanced topics such as implementing neural network algorithms while performing sentiment analysis on your data.

Developing Solutions for Microsoft Azure AZ-204 Exam Guide. A comprehensive guide to passing the AZ-204 exam - Second Edition

Paul Ivey, Alex Ivanov

Get ready to delve into Microsoft Azure and build efficient cloud-based solutions with this updated second edition. Authored by seasoned Microsoft trainers, Paul Ivey and Alex Ivanov, this book offers a structured approach to mastering the AZ-204 exam topics while focusing on the intricacies of Azure development.You’ll familiarize yourself with cloud fundamentals, understanding the core concepts of Azure and various cloud models. Next, you’ll gain insights into Azure App Service web apps, containers and container-related services in Azure, Azure Functions, and solutions using Cosmos DB and Azure Blob Storage. Later, you'll learn how to secure your cloud solutions effectively as well as how to implement message- and event-based solutions and caching. You’ll also explore how to monitor and troubleshoot your solutions effectively. To build on your skills, you’ll get hands-on with monitoring, troubleshooting, and optimizing Azure applications, ensuring peak performance and reliability. Moving ahead, you’ll be able to connect seamlessly to third-party services, harnessing the power of API management, event-based solutions, and message-based solutions.By the end of this MS Azure book, you'll not only be well-prepared to pass the AZ-204 exam but also be equipped with practical skills to excel in Azure development projects.

Hyperledger Cookbook. Over 40 recipes implementing the latest Hyperledger blockchain frameworks and tools

Xun (Brian) Wu, Chuanfeng Zhang, Zhibin (Andrew) Zhang

Hyperledger is an open-source project and creates private blockchain applications for a range of domains. This book will be your desk reference as you explore common and not-so-common challenges faced while building blockchain networks using Hyperledger services.We'll work through all Hyperledger platform modules to understand their services and features and build end-to-end blockchain applications using various frameworks and tools supported by Hyperledger. This book's independent, recipe-based approach (packed with real-world examples) will familiarize you with the blockchain development cycle. From modeling a business network to integrating with various tools, you will cover it all. We'll cover common and not-so-common challenges faced in the blockchain life cycle. Later, we'll delve into how we can interact with the Hyperledger Fabric blockchain, covering all the principles you need to master, such as chaincode, smart contracts, and much more. We'll also address the scalability and security issues currently faced in blockchain development.By the end of this book, you will be able to implement each recipe to plan, design, and create a full-fledged, private, decentralized application to meet organizational needs.

The Kubernetes Book. Navigate the world of Kubernetes with expertise - Second Edition

Nigel Poulton, Pushkar Joglekar

Containers transformed how we package and deploy applications, but they came with inherent challenges. Kubernetes is a platform for deploying and managing containerized applications at scale. It also abstracts underlying infrastructure, making it easier to deploy and manage applications across heterogenous clouds and on-premises environments. The Kubernetes Book offers a beginner-friendly approach to mastering Kubernetes architecture and core concepts such as Pods, Deployments, Services, StatefulSets, Ingress, & ConfigMaps. It also demystifies the Kubernetes API, teaches you how to secure Kubernetes, and brings you up to speed with important cloud-native concepts such as microservices, declarative configuration, desired state, & reconciliation. The book also serves as a comprehensive guide for software developers, systems administrators, cloud engineers, and architects to help them master Kubernetes. It offers the most precise explanations and is full of practical examples to help develop applications on a laptop and then deploy them to real-world Kubernetes environments. The Kubernetes Book is updated annually, meaning it's always up to date with the latest and greatest in the Kubernetes and cloud-native ecosystems.

Mastering React Test-Driven Development. Build rock-solid, well-tested web apps with React, Redux and GraphQL

Daniel Irvine

Many programmers are aware of TDD but struggle to apply it beyond basic examples. This book teaches how to build complex, real-world applications using Test-Driven Development (TDD). It takes a first principles approach to the TDD process using plain Jest and includes test-driving the integration of libraries including React Router, Redux, and Relay (GraphQL).Readers will practice systematic refactoring while building out their own test framework, gaining a deep understanding of TDD tools and techniques. They will learn how to test-drive features such as client- and server-side form validation, data filtering and searching, navigation and user workflow, undo/redo, animation, LocalStorage access, WebSocket communication, and querying GraphQL endpoints.The book covers refactoring codebases to use the React Router and Redux libraries. via TDD. Redux is explored in depth, with reducers, middleware, sagas, and connected React components. The book also covers acceptance testing using Cucumber and Puppeteer.The book is fully up to date with React 16.9 and has in-depth coverage of hooks and the ‘act’ test helper.