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使用Go编写的轻量级Hashicorp Vault客户端，无依赖关系。 它旨在提供易于使用的直观，简单的API。 就像使用CLI一样。 libvault用Go编写的轻量级Hashicorp Vault客户端，没有依赖项。 它旨在提供易于使用的直观，简单的API。 就像使用CLI一样。 使用该模块，当前您只能从Vault引擎读取机密。 这是一个正在进行的项目，请随时打开FR，PR或问题。 支持的功能身份验证方法：令牌AppRole支持的机密引擎：KV v2.0支持自签名CA证书使用环境变量消耗机密

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Effective Robotics Programming with ROS - Third Edition English | 27 Dec. 2016 | ISBN: 1786463652 | 468 Pages | AZW3/MOBI/EPUB/PDF (conv) | 59.11 MB Find out everything you need to know to build powerful robots with the most up-to-date ROS About This Book This comprehensive, yet easy-to-follow guide will help you find your way through the ROS framework Successfully design and simulate your 3D robot model and use powerful robotics algorithms and tools to program and set up your robots with an unparalleled experience by using the exciting new features from Robot Kinetic Use the latest version of gazebo simulator, OpenCV 3.0, and C++11 standard for your own algorithms Who This Book Is For This book is suitable for an ROS beginner as well as an experienced ROS roboticist or ROS user or developer who is curious to learn ROS Kinetic and its features to make an autonomous Robot. The book is also suitable for those who want to integrate sensors and embedded systems with other software and tools using ROS as a framework. What You Will Learn Understand the concepts of ROS, the command-line tools, visualization GUIs, and how to debug ROS Connect robot sensors and actuators to ROS Obtain and analyze data from cameras and 3D sensors Use Gazebo for robot/sensor and environment simulation Design a robot and see how to make it map the environment, navigate autonomously, and manipulate objects in the environment using MoveIt! Add vision capabilities to the robot using OpenCV 3.0 Add 3D perception capabilities to the robot using the latest version of PCL In Detail Building and programming a robot can be cumbersome and time-consuming, but not when you have the right collection of tools, libraries, and more importantly expert collaboration. ROS enables collaborative software development and offers an unmatched simulated environment that simplifies the entire robot building process. This book is packed with hands-on examples that will help you program your robot and give you complete solutions using open source ROS libraries and tools. It also shows you how to use virtual machines and Docker containers to simplify the installation of Ubuntu and the ROS framework, so you can start working in an isolated and control environment without changing your regular computer setup. It starts with the installation and basic concepts, then continues with more complex modules available in ROS such as sensors and actuators integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, Computer Vision, perception in 3D with PCL, and more. By the end of the book, you'll be able to leverage all the ROS Kinetic features to build a fully fledged robot for all your needs. Style and approach This book is packed with hands-on examples that will help you program your robot and give you complete solutions using ROS open source libraries and tools. All the robotics concepts and modules are explained and multiple examples are provided so that you can understand them easily.

一代数学天才，世所公认的概率学界学术教父、最后一位集大成者，斯坦福大学数学系前系主任、荣休教授，华人数学家钟开莱先生，于6月2日辞世，享年92岁。 这本概率论教程是大师的经典之作。无需太多介绍。 向大师致敬！ （英文版、中文版各一份；由于上传大小的限制，英文版为djvu格式，如需pdf格式请自行转制；本资源无需任何积分）

搜索了一下发现没有第二版的。This book is primarily concerned with the provision of good flying and handling qualities in conventional piloted aircraft, although the material is equally applicable to the uninhabited air vehicle (UAV). Consequently it is also very much concerned with the stability, control and dynamic characteristics which are fundamental to the determination of those qualities. Since flying and handling qualities are of critical importance to safety and to the piloting task it is essential that their origins are properly understood. Here then, the intention is to set out the basic principles of the subject at an introductory level and to illustrate the application of those principles by means of worked examples.

This file is Bayesian Data Analysis written by Andrew Gelman