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A practical, in-depth guide to implementing object-oriented design principles to create robust code

2023 Manning Java 经典 新书 首发

This book shows the story of lambda expressions in C++. You’ll learn how to use this powerful feature in a step-by-step manner, slowly digesting the new capabilities and enhancements that come with each revision of the C++ Standard. We’ll start with C++98/03, and then we’ll move on to the latest C++ Standards. • C++98/03 - how to code without lambda support. What was the motivation for the new modern C++ feature? • C++11 - early days. You’ll learn about all the elements of a lambda expression an

Initialization in C++ is a hot topic! The internet is full of discussions about best practices, and there are even funny memes on that subject. The situation is not surprising, as there are more than a dozen ways to initialize a simple integer value, complex rules for the auto-type deduction, data members, and object lifetime nuances. And here comes the book. Throughout this text, you will learn practical options to initialize various categories of variables and data members in Modern C++. More

This book is written for Scala 2.13.1 and Cats 2.1.0. functional programming Monads are one of the most common abstractions in Scala. Many Scala programmers quickly become intuitively familiar with monads, even if we don’t know them by name.

Apache ShardingSphere is a new open source ecosystem for distributed data infrastructures based on pluggability and cloud-native principles. This book begins with a quick overview of the main challenges faced by DBMSs today in production environments, followed by a brief introduction to the ShardingSphere software's kernel concept. Thereafter, through real-world examples, including distributed database solutions, elastic scaling, DistSQL, synthetic monitoring, SQL authorization and user authenti

Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Natural language processing (NLP) provides unbounded opportunities for solving interesting problems in artificial intelligence, especially with the availability of flexible deep learning frameworks. With this practical book, developers and data scientists will learn how to implement recently discovered NLP techniques with the open source software library TensorFlow. After providing you with a solid grounding in TensorFlow, you'll learn deep learning algorithms for building applications involving semantic representation of texts via embeddings, sequence modeling using RNNs, LSTMs, and GRUs, and sequence-to-sequence modeling for applications such as Question Answering, Summarization, and Machine Translation. If you have some background in machine learning, this book will help you explore the intersection of NLP and practical aspects of deep learning.

Coffee Break Python is a new step-by-step system to teach you how to learn Python faster, smarter, and better. You do nothing but solving one practical Python puzzle as you enjoy your morning coffee.

Manning经典教材 Spark in Action，true PDF格式！ Manning经典教材 Spark in Action，true PDF格式！

Manning经典教材《Kubernetes in Action》。true PDF版本！

Looking for one central source where you can learn key findings on machine learning? Deep Learning: A Practitioner's Approach provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Authors Adam Gibson and Josh Patterson present the latest relevant papers and techniques in a non­academic manner, and implement the core mathematics in their DL4J library. If you work in the embedded, desktop, and big data/Hadoop spaces and really want to understand deep learning, this is your book. Table of Contents Chapter 1 A Review of Machine Learning Chapter 2 Foundations of Neural Networks Chapter 3 Fundamentals of Deep Networks Chapter 4 Major Architectures of Deep Networks Chapter 5 Building Deep Networks Chapter 6 Tuning Deep Networks Chapter 7 Tuning Specific Deep Network Architectures Chapter 8 Vectorization Chapter 9 Using Deep Learning and DL4J on Spark

Get the most from Angular 2, the leading framework for building dynamic JavaScript applications. Best-selling author Adam Freeman begins by describing the MVC pattern and the benefits it can offer and then shows you how to use Angular in your projects, starting from the nuts-and-bolts and building up to the most advanced and sophisticated features, going in-depth to give you the knowledge you need. Each topic is covered clearly and concisely and is packed with the details you need to learn to be truly effective. The most important features are given a no-nonsense in-depth treatment and chapters include common problems and details of how to avoid them. What you’ll learn Gain a solid architectural understanding of the MVC Pattern Learn how to create rich and dynamic web app clients using Angular 2 Learn how to extend and customize Angular 2 Learn how to test your Angular 2 projects Who this book is for Web developers with a foundation knowledge of HTML and JavaScript who want to create rich client-side applications. Table of Contents Chapter 1: Getting Ready Chapter 2: Your First Angular App Chapter 3: Putting Angular in Context Chapter 4: An HTML and CSS Primer Chapter 5: JavaScript and TypeScript: Part 1 Chapter 6: JavaScript and TypeScript: Part 2 Chapter 7: SportsStore: A Real Application Chapter 8: SportsStore: Orders and Checkout Chapter 9: SportsStore: Administration Chapter 10: SportsStore: Deployment Chapter 11: Creating an Angular Project Chapter 12: Using Data Bindings Chapter 13: Using the Built-In in Directives Chapter 14: Using Events and Forms Chapter 15: Creating Attribute Directives Chapter 16: Creating Structural Directives Chapter 17: Understanding Components Chapter 18: Using and Creating Pipes Chapter 19: Using Services Chapter 20: Using Service Providers Chapter 21: Using and Creating Modules Chapter 22: Creating the Example Project Chapter 23: Using Reactive Extensions Chapter 24: Making Asynchronous HTTP Requests Chapter 25: Routing and Navigation: Part 1 Chapter 26: Routing and Navigation: Part 2 Chapter 27: Routing and Navigation: Part 3 Chapter 28: Using Animation Chapter 29: Angular Unit Testing

Troubleshooting PostgreSQL

Bayesian Programming

Manning的Big_Data：Principles_and_Best_Practices_of_Scalable_Realtime_Data_Systems一书，大数据概论。

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Just like a pearl, the Eclipse Modeling Project has grown organically as layers around a central core. From the humble beginnings of the Eclipse Modeling Framework (EMF) (initially part of the Eclipse Tools Project) along with the Graphical Modeling Framework (GMF) and the Generative Modeling Tools (GMT) (both initially part of the Eclipse Technology Project), the Modeling Project coalesced to become one of Eclipse’s most exciting and diverse projects. The depth and breadth of its technology is vast and even its rate of growth continues to increase. The Eclipse Modeling Project has truly become a Swiss Army knife for state-of-the-art model-driven software development.