Establish business agility in your organization by applying industry-proven scaling strategies from popular Scrum frameworks such as Scrum of Scrums (SoS), Scrum@Scale, Nexus, Large-Scale Scrum (LeSS), Disciplined Agile, and SAFe Key Features Learn how to be Agile at scale by implementing best practices Understand how Lean-Agile practices are incorporated in Disciplined Agile and the Scaled Agile Framework (SAFe) Customize Scrum and Lean-Agile practices to support portfolio and large product development needs Book DescriptionScaled Scrum and Lean-Agile practices provide essential strategies to address large and complex product development challenges not addressed in traditional Scrum. This Scrum/ Lean-Agile handbook provides a comprehensive review and analysis of industry-proven scaling strategies that enable business agility on an enterprise scale. Free of marketing hype or vendor bias, this book helps you decide which practices best fit your situation. You'll start with an introduction to Scrum as a lightweight software development framework and then explore common approaches to scaling it for more complex development scenarios. The book will then guide you through systems theory, lean development, and the application of holistic thinking to more complex software and system development activities. Throughout, you'll learn how to support multiple teams working in collaboration to develop large and complex products and explore how to manage cross-team integration, dependency, and synchronization issues. Later, you'll learn how to improve enterprise operational efficiency across value creation and value delivery activities, before discovering how to align product portfolio investments with corporate strategies. By the end of this Scrum book, you and your product teams will be able to get the most value out of Agile at scale, even in complex cyber-physical system development environments. What you will learn Understand the limitations of traditional Scrum practices Explore the roles and responsibilities in a scaled Scrum and Lean-Agile development environment Tailor your Scrum approach to support portfolio and large product development needs Apply systems thinking to evaluate the impacts of changes in the interdependent parts of a larger development and delivery system Scale Scrum practices at both the program and portfolio levels of management Understand how DevOps, test automation, and CI/CD capabilities help in scaling Scrum practices Who this book is forExecutives, product owners, Scrum masters, development team members, and other stakeholders who need to learn how to scale Agile to support large, complex projects and large enterprise portfolios and programs will find this book useful. A basic understanding of the values and principles of Agile and the Scrum-based framework for Agile development practices is required before you get started with this Agile Scrum book.

Learn Tuxedo by developing solutions in Python for real-world problems Key Features Understand Tuxedo through a modern lens by experimenting with Python code Boost your productivity by using Python programming to perform common Tuxedo programming tasks Manage real-world integration tasks with small Python programs Book DescriptionDespite being developed in the 1980s, Oracle Tuxedo still runs a significant part of critical infrastructure and is not going away any time soon. Modernizing Oracle Tuxedo Applications with Python will help you get to grips with the most important Tuxedo concepts by writing Python code. The book starts with an introduction to Oracle Tuxedo and guides you in installing its latest version and Python bindings for Tuxedo on Linux. You'll then learn how to build your first server and client, configure Tuxedo, and start running an application. As you advance, you'll understand load balancing and work with the BBL server, which is at the heart of a Tuxedo application. This Tuxedo book will also cover Boolean expressions and different ways to export Tuxedo buffers for storage and transmission, before showing you how to implement servers and clients and use the management information base to change the configuration dynamically. Once you've learned how to configure Tuxedo for transactions and control them in application code, you'll discover how to use the store-and-forward functionality to reach destinations and use an Oracle database from a Tuxedo application. By the end of this Oracle Tuxedo book, you'll be able to perform common Tuxedo programming tasks with Python and integrate Tuxedo applications with other parts of modern infrastructure. What you will learn Understand Oracle Tuxedo as a microservice platform Develop Oracle Tuxedo applications using Python 3 Perform administration tasks programmatically with Python 3 Extract Tuxedo statistics for monitoring application performance Integrate Tuxedo into the modern software ecosystem Understand how distributed transactions work in Tuxedo Who this book is forThis book is for developers who are new to Tuxedo and are looking to develop a new modern front-end or integrate Tuxedo in their applications. The book will also help experienced Tuxedo, C or COBOL developers to improve their productivity and QA engineers to automate Tuxedo application tests. Beginner-level knowledge of Python and Linux shell is required before getting started with this book.

As a result of the COVID-19 pandemic, most schools had to suddenly shift from traditional face-to-face courses to blended, synchronous, and asynchronous instructional environments. The impact upon the immediacy of remote learning was overwhelming to many faculty, instructional facilitators, teachers, and trainers. Many faculty and trainers have experience with the analysis, design, development, implementation, and evaluation of online and blended learning environments, while many faculty and trainers also do not have this knowledge nor experience. As such, the collegial workspace has developed into a collaborative work environment wherein the faculty are helping faculty, partially because the instructional designer staff and learning advisors are overwhelmed with the number of course projects that must be moved from traditional face-to-face course environments into an online environment within a short period of time. The faculty are helping each other make this move, offering course design and development support and also instructional tips and tricks that will support successful blended and online experiences that enhance learning outcomes. Shifting to Online Learning Through Faculty Collaborative Support focuses on supporting and enhancing blended and distance learning course design and development, successful tips for course design and teaching, techniques for online learning, and embracing collegial mentorship and facilitative support for course and faculty success. This book highlights the strength of collegial bonds while discussing tools, methods, procedural efforts, styles of engagement, learning theories, assessment efforts, and even social learning engagement implementations in online learning. It provides information and lessons and embraces a long-term approach towards understanding institutional impact and collegial support. This book is valuable for school administrators, teachers, course designers, instructional designers, school faculty, business and administrative leadership, practitioners, stakeholders, researchers, academicians, and students interested in how faculty collaborative support is playing a critical role in improving and developing successful online learning.

A practical guide for developers, development teams, and managers to successfully implement remote pair programming techniques and styles that better fit their organization's environment Key Features Implement remote pair programming best practices in your organization to increase productivity in software development teams Overcome the challenges in communication while working with distributed teams across the globe Explore remote pair programming tools and learn smart ways to use them efficiently Book DescriptionRemote pair programming takes pair programming practices to the next level by allowing you and your team members to work effectively in distributed teams. This helps ensure that you continuously improve code quality, share equal ownership of the code, facilitate knowledge sharing, and reduce bugs in your code. If you want to adopt remote pair programming within your development team, this book is for you. Practical Remote Pair Programming takes you through various techniques and best practices for working with the wide variety of tools available for remote pair programming. You'll understand the significance of pair programming and how it can help improve communication within your team. As you advance, you'll get to grips with different remote pair programming strategies and find out how to choose the most suitable style for your team and organization. The book will take you through the process of setting up video and audio tools, screen sharing tools, and the integrated development environment (IDE) for your remote pair programming setup. You'll also be able to enhance your remote pair programming experience with source control and remote access tools. By the end of this book, you'll have the confidence to drive the change of embracing remote pair programming in your organization and guide your peers to improve productivity while working remotely. What you will learn Develop a structured organizational approach to implementing pair programming and using it effectively Understand how pair programming fosters better communication inside and outside the team Organize remote pair programming and choose the right style for your organization Set up screen sharing, IDE, source control rules, audio, and video for your remote pair programming setup Use various pair programming techniques and styles in the context of a remote environment Enhance your remote pair programming experience with source control and remote access tools Who this book is forThis book is for any developer who wants to understand the different practical aspects involved in remote pair programming and adopt them in their existing development teams. If you're a team leader or technical manager, this book will serve as a manual for implementing remote pair programming covering the best resources for you to manage communication and collaboration using pair programming with your team members working remotely in distributed teams.

Switch observability is a new observability concept for switched systems with unknown switching signals that is useful in the context of fault detection and identification. This notion, as well as the related concepts of switching signal observability and switching time observability, are investigated and fully characterized both for switched ODEs and switched DAEs. Switch observability is particularly useful in the context of fault detection and identification. A corresponding observer is designed. Also, the new concepts are applied to some power network example in order to highlight their use.

Harness the power of LaTeX and its wide range of features to create professional-looking text, articles, and books with both online and offline capabilities of LaTeX Key Features Get a hands-on introduction to LaTeX using fully explained examples to advance from beginner to LaTeX professional quickly Write impressive mathematical, scientific, and business papers or theses using LaTeX Explore LaTeX online Book DescriptionLaTeX is high-quality open source typesetting software that produces professional prints and PDF files. It's a powerful and complex tool with a multitude of features, so getting started can be intimidating. However, once you become comfortable with LaTeX, its capabilities far outweigh any initial challenges, and this book will help you with just that! The LaTeX Beginner's Guide will make getting started with LaTeX easy. If you are writing mathematical, scientific, or business papers, or have a thesis to write, this is the perfect book for you. With the help of fully explained examples, this book offers a practical introduction to LaTeX with plenty of step-by-step examples that will help you achieve professional-level results in no time. You'll learn to typeset documents containing tables, figures, formulas, and common book elements such as bibliographies, glossaries, and indexes, and go on to manage complex documents and use modern PDF features. You'll also get to grips with using macros and styles to maintain a consistent document structure while saving typing work. By the end of this LaTeX book, you'll have learned how to fine-tune text and page layout, create professional-looking tables, include figures, present complex mathematical formulas, manage complex documents, and benefit from modern PDF features. What you will learn Make the most of LaTeX's powerful features to produce professionally designed texts Download, install, and set up LaTeX and use additional styles, templates, and tools Typeset math formulas and scientific expressions to the highest standards Understand how to include graphics and work with figures and tables Discover professional fonts and modern PDF features Work with book elements such as bibliographies, glossaries, and indexes Typeset documents containing tables, figures, and formulas Who this book is forIf you are about to write mathematical or scientific papers, seminar handouts, or even plan to write a thesis, this book offers you a fast-paced and practical introduction to LaTeX. School and university students will find this easy-to-follow LaTeX guide helpful, as will mathematicians, physicists, engineers, and humanists. Anybody with high expectations from their software will discover how easy it is to leverage LaTeX's high performance for creating documents.

Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies Key Features Get up to speed with AutoML using OSS, Azure, AWS, GCP, or any platform of your choice Eliminate mundane tasks in data engineering and reduce human errors in machine learning models Find out how you can make machine learning accessible for all users to promote decentralized processes Book DescriptionEvery machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort. This book reviews the underlying techniques of automated feature engineering, model and hyperparameter tuning, gradient-based approaches, and much more. You'll discover different ways of implementing these techniques in open source tools and then learn to use enterprise tools for implementing AutoML in three major cloud service providers: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. As you progress, you'll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle. By the end of this machine learning book, you'll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks. What you will learn Explore AutoML fundamentals, underlying methods, and techniques Assess AutoML aspects such as algorithm selection, auto featurization, and hyperparameter tuning in an applied scenario Find out the difference between cloud and operations support systems (OSS) Implement AutoML in enterprise cloud to deploy ML models and pipelines Build explainable AutoML pipelines with transparency Understand automated feature engineering and time series forecasting Automate data science modeling tasks to implement ML solutions easily and focus on more complex problems Who this book is forCitizen data scientists, machine learning developers, artificial intelligence enthusiasts, or anyone looking to automatically build machine learning models using the features offered by open source tools, Microsoft Azure Machine Learning, AWS, and Google Cloud Platform will find this book useful. Beginner-level knowledge of building ML models is required to get the best out of this book. Prior experience in using Enterprise cloud is beneficial.