Processing最初是面向艺术家和设计师开发的程序。由Casey Reas和Ben Fry编著的《爱上Processing》适合零基础的初学者。《爱上Processing》的1～6章介绍了Processing的基础用法，而7～10章则结合计算机高级编程语言的基础知识，通过示例让初学者更加透彻地理解编程的逻辑思路以及语言。第11章结合Arduino物理模块进行了延伸。《爱上Processing》与《爱上Arduino》一书相呼应，向大家展现了Processing的强大拓展性和创造性。

Learn computer programming the easy way with Processing, a simple language that lets you use code to create drawings, animation, and interactive graphics. Programming courses usually start with theory, but this book lets you jump right into creative and fun projects. It's ideal for anyone who wants to learn basic programming, and serves as a simple introduction to graphics for ...(展开全部)

This book is for developers, sys admins, and DevOps engineers who want to automate the deployment process and scale their applications. You do not need any knowledge about Kubernetes.

This book is for developers and operators who already have some exposure to working with infrastructure but want to improve their workflow and introduce infrastructure as a code practice. Knowledge of essential Amazon Web Services components (EC2, VPC, IAM) would help contextualize the examples provided. Basic understanding of Jenkins and Shell scripts will be helpful for the chapters on the production usage of Terraform.

This book is targeted at developers who are new to build systems and task runners but who have had prior experience with web development; a basic knowledge of HTML, CSS, and JavaScript is assumed. It guides the reader through the process of using Gulp to automate several common development tasks so that they can save time and focus on what is most important: writing great code.

Kubernetes is an open source orchestration platform for managing containers in a cluster environment. This Learning Path introduces you to the world of containerization, in addition to providing you with an overview of Docker fundamentals. As you progress, you will be able to understand how Kubernetes works with containers. Starting with creating Kubernetes clusters and running applications with proper authentication and authorization, you'll learn how to create high-availability Kubernetes clusters on Amazon Web Services (AWS), and also learn how to use kubeconfig to manage different clusters. Whether it is learning about Docker containers and Docker Compose, or building a continuous delivery pipeline for your application, this Learning Path will equip you with all the right tools and techniques to get started with containerization.By the end of this Learning Path, you will have gained hands-on experience of working with Docker containers and orchestrators, including SwarmKit and Kubernetes.This Learning Path includes content from the following Packt products:Kubernetes Cookbook - Second Edition by Hideto Saito, Hui-Chuan Chloe Lee, and Ke-Jou Carol Hsu.Learn Docker - Fundamentals of Docker 18.x by Gabriel N. Schenker.

This Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. You’ll quickly start writing programs, building websites, and working with data by harnessing Python's renowned data science libraries. With the power of linked lists, binary searches, and sorting algorithms, you'll easily create complex data structures, such as graphs, stacks, and queues. After understanding cooperative inheritance, you'll expertly raise, handle, and manipulate exceptions. You will effortlessly integrate the object-oriented and not-so-object-oriented aspects of Python, and create maintainable applications using higher level design patterns. Once you’ve covered core topics, you’ll understand the joy of unit testing and just how easy it is to create unit tests.By the end of this Learning Path, you will have built components that are easy to understand, debug, and can be used across different applications.This Learning Path includes content from the following Packt products:Learn Python Programming - Second Edition by Fabrizio Romano.Python Data Structures and Algorithms by Benjamin Baka.Python 3 Object-Oriented Programming by Dusty Phillips.

Arduino is the open-source electronics prototyping platform that’s taken the design and hobbyist world by storm. This thorough introduction, updated for Arduino 1.0, gives you lots of ideas for projects and helps you work with them right away. From getting organized to putting the final touches on your prototype, all the information you need is here! Inside, you’ll learn about:...(展开全部)

Even as data is turning the world upside down, the next revolution is taking shape: realtime data analysis. Data tools like Hadoop are batch-oriented; they're good at taking a set of data, analyzing it, and giving you the result later. But these tools are not particularly good at handling streaming data: data that is constantly arriving, and results that are changing as fast ...(展开全部)

This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby.