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R 4 Quick Syntax Reference : A Pocket Guide to the Language, API's and Library
tarting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API. You will: Discover the modes and classes of R objects and how to use them / Use both packaged and user-created functions in R / Import/export data and create new data objects in R / Create descriptive functions and manipulate objects in R / Take advantage of flow control and conditional statements / Work with packages such as base, stats, and graphics
Pro CSS and HTML Design Patterns
Pro CSS and HTML Design Patterns is a reference book and a cookbook on how to style web pages using CSS and XHTML. It contains 350 ready–to–use patterns (CSS and XHTML code snippets) you can copy and paste into your code. Each pattern can be combined with other patterns to create an unlimited number of solutions. Each pattern works reliably in all major browsers without the need for browser hacks.
Hardware Verification with SystemVerilog : An Object-Oriented Framework
Verification is increasingly complex, and SystemVerilog is one of the languages that the verification community is turning to. However, no language by itself can guarantee success without proper techniques. Object-oriented programming (OOP), with its focus on managing complexity, is ideally suited to this task. With this handbook—the first to focus on applying OOP to SystemVerilog—we’ll show how to manage complexity by using layers of abstraction and base classes. By adapting these techniques, you will write more "reasonable" code, and build efficient and reusable verification components. Both a learning tool and a reference, this handbook contains hundreds of real-world code snippets and three professional verification-system examples.
Artificial Intelligence with Python
Introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.
