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Zarządzanie
Podcasty
Davide Bedin, Mark Russinovich
Over the last decade, there has been a huge shift from heavily coded monolithic applications to finer, self-contained microservices. Dapr is a new, open source project by Microsoft that provides proven techniques and best practices for developing modern applications. It offers platform-agnostic features for running your applications on public cloud, on-premises, and even on edge devices.This book will help you get to grips with microservice architectures and how to manage application complexities with Dapr in no time. You'll understand how Dapr offers ease of implementation while allowing you to work with multiple languages and platforms. You'll also understand how Dapr's runtime, services, building blocks, and software development kits (SDKs) help you to simplify the creation of resilient and portable microservices. Dapr provides an event-driven runtime that supports the essential features you need to build microservices, including service invocation, state management, and publish/subscribe messaging. You'll explore all of those in addition to various other advanced features with this practical guide to learning Dapr.By the end of this book, you'll be able to write microservices easily using your choice of language or framework by implementing industry best practices to solve problems related to distributed systems.
Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex.Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications.You will build XAI solutions in Python, TensorFlow 2, Google Cloud’s XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle.You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces.By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI.
Ann L. R. McKinnell, Ann L. R. McKinnell, Eric Yen
From smaller businesses through to huge enterprises ñ users all over the world often require access to data 24 hours a day. Distributed database systems proliferate the world of data sharing providing an ability to access real-time data anywhere, anytime. Oracle Streams, a built-in feature of the Oracle database, is a data replication and integration feature critical to the success and wellbeing of enterprises in today's fast moving economy. This book provides the reader with solid techniques to master Oracle Streams technology and successfully deploy distributed database systems.This book quickly goes over the basics and gets you up and running with a simple Oracle 11g Streams environment. It will serve as an excellent companion to the Oracle Streams Administration Guide. It is intended for Oracle database architects and administrators, and provides in-depth discussion on must-know information for the design, implementation, and maintenance of an Oracle Streams environment.The book does not attempt to regurgitate all the information in the Oracle Streams Administration Guides, but rather provides additional clarification and explanation of design, implementation, and troubleshooting concepts that are often elusive in Streams documentation. It also identifies helpful tools and Oracle resources to add to your knowledge base, as well as tried and tested tricks and tips to help you tame Oracle Streams.The book starts by introducing and explaining the components of Oracle Streams and how they work together. It then moves on logically, helping you to determine your distributed environment requirements and design your Streams implementation to meet those requirements. Once these concepts are discussed, the book moves to configuration and basic implementation examples to help solidify those concepts. It then addresses advanced features such as tags, down-stream capture, and conflict resolution. You then move on to maintenance techniques such as documenting the environment, effectively planning and implementing changes to the environment, and monitoring and troubleshooting the environment. When you have studied the techniques and completed the hands-on examples, you will have an understanding of Oracle Streams' core concepts and functionally that will allow you to successfully design, implement, and maintain an Oracle Streamed environment.
The field of deep learning has developed rapidly recently and today covers a broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today.The first part of the book introduces the main machine learning concepts and paradigms. It covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning.The second part of the book introduces convolutional networks for computer vision. We’ll learn how to solve image classification, object detection, instance segmentation, and image generation tasks.The third part focuses on the attention mechanism and transformers – the core network architecture of large language models. We’ll discuss new types of advanced tasks they can solve, such as chatbots and text-to-image generation.By the end of this book, you’ll have a thorough understanding of the inner workings of deep neural networks. You'll have the ability to develop new models and adapt existing ones to solve your tasks. You’ll also have sufficient understanding to continue your research and stay up to date with the latest advancements in the field.
Mastering iOS Game Development. Mastering iOS Game Development
iOS is an operating system for Apple manufactured phones and tablets. Mobile gaming is one of the fastest-growing industries, and compatibility with iOS is now becoming the norm for game developers. SpriteKit is part of the native SDK from Apple, and enables developers to make simple entry into game development without unnecessary overhead and a long learning process. SpriteKit also provides other functionality that is useful for games, including basic sound playback support and physics simulation. In addition, Xcode provides built-in support for SpriteKit so that you can create complex special effects and texture atlases directly in Xcode. This combination of framework and tools makes SpriteKit a good choice for games and other apps that require similar kinds of animation. Become a master in iOS game development through this fast and fun guide! In the beginning, we’ll tell you everything you need to plan and design your game. You’ll then start developing your game through step-by-step instructions using the various built-in technologies of Xcode. From there on, we discuss how to deploy your game to the iOS App Store, as well as monetizing it to make more revenue. You will also learn advanced techniques to improve your game playing experience, including better multi-tasking, improved performance optimization, battery management, and more. To end the book off, we’ll show you how to update your game with different features, then port the update to the App Store.
Kenneth Geisshirt, Emanuele Zattin(EUR), Aske Olsson, Rasmus Voss
Git is one of the most popular tools for versioning. With over 100 practical, self-contained tutorials, this updated version of the bestselling Git Version Control Cookbook examines the common pain points and best practices to help you solve problems related to versioning.Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works. You’ll get started by learning about the Git data model and how it stores files, along with gaining insights on how to commit changes to a database. Using simple commands, you’ll also understand how to navigate through the database. Once you have accustomed yourself to the basics, you’ll explore techniques to configure Git with the help of comprehensive examples and configuration targets. Further into the book, you’ll get up to speed with branches and recovery from mistakes. You’ll also discover the features of Git rebase and how to use regular Git to merge other branches. The later chapters will guide you in exploring Git notes and learning to utilize the update, list, and search commands. Toward the concluding chapters, you’ll focus on repository maintenance, patching, and offline sharing. By the end of this book, you’ll have grasped various tips and tricks, and have a practical understanding of best-practice solutions for common problems related to versioning.