Security with Go is aimed at developers with basics in Go to the level that they can write their own scripts and small programs without difficulty. Readers should be familiar with security concepts, and familiarity with Python security applications and libraries is an advantage, but not a necessity.

If you are a system administrator or a DevOps engineer with responsibility for finding loop holes in your system or application, then this book is for you. It’s also useful for security consultants looking to automate their infrastructure’s security model.

実直に建築と向き合い続ける建築家、長谷川豪による海外4カ国の有名建築家6組へのインタヴュー集。 《森のなかの住宅》(2006)でデビューし、《五反田の住宅》(2006)、《練馬のアパートメント》(2010)、《駒沢の家》(2011)、 《石巻の鐘楼》(2012)などで知られる長谷川は、2012年から2年間、スイスのメンドリジオ建築アカデミーでの客員教授を務め、 世界各地での講演、ワークショップに招聘されるなど世界へと活動の場を広げている。 本書では、彼が日本とヨーロッパとを行き来した体験をもとに、各国の建築風土で評価の高い作品をつくり続ける、 アルヴァロ・シザ(ポルトガル)、ヴァレリオ・オルジャティ(スイス)、ペーター・メルクリ(スイス)、ラカトン&ヴァッサル(フランス)、 ケルステン・ゲールス&ダヴィッド・ファン・セーヴェレン(ベルギー)、パスカル...(展开全部)

Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go.The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced.The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum.The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring.At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.

Go is an open source programming language designed by Google for handling large-scale projects efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these tools to train and deploy scalable deep learning models from scratch. This deep learning book begins by introducing you to a variety of tools and libraries available in Go. It then takes you through building neural networks, including activation functions and the learning algorithms that make neural networks tick. In addition to this, you'll learn how to build advanced architectures such as autoencoders, restricted Boltzmann machines (RBMs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. You'll also understand how you can scale model deployments on the AWS cloud infrastructure for training and inference. By the end of this book, you'll have mastered the art of building, training, and deploying deep learning models in Go to solve real-world problems.

大卫•瑞雷（David R. Railey） 美国职业占星师，严肃占星学的拥趸。自1970年开始接触占星学，经过五年专门学习后，通过亚特兰大市的职业占星从业者资格考试。作为执业者和教师，大卫是职业标准的积极倡导者，总是将专业占星学与大众化的娱乐占星严格区分开来。他曾在亚特兰大占星考试委员会服务四年，并两次担任主席。现在则是全美占星师联盟（AFAN）、全美占星研究委员会（NCGR）、国际占星研究协会（ISAR）和职业占星师组织（OPA）的成员。

This book is intended for Java Web and/or RESTful webservice developers and assumes a basic understanding of creating Java 8, Java Web and/or RESTful webservice applications, XML, and the Spring Framework. You are not expected to have any previous experience with Spring Security.

First published in 1934, Security Analysis is one of the most influential financial books ever written. Selling more than one million copies through five editions, it has provided generations of investors with the timeless value investing philosophy and techniques of Benjamin Graham and David L. Dodd. As relevant today as when they first appeared nearly 75 years ago, the teachi...(展开全部)

這本厚478 頁的《GOGO MONSTER》，是松本大洋2000年底出版的作品。在松本大洋歷年的作品中規格非常特殊，放在日本漫畫的脈絡中也非常少見：精裝、書盒、書邊刷色還網印圖案、厚度更是一般漫畫的三倍！整體看起來與其說是日漫，更像是歐美漫畫作品。此外，松本大洋創作本書時，未在漫畫期刊連載，而是埋首投入三年光陰，畫完成後直接成書出版。 松本大洋在受訪時曾表示，1997年結束了神作《乒乓》的連載後，因對日本漫畫週刊快速的連載速度感到疲憊，加上去了一趟法國安古蘭國際漫畫節，和法國漫畫名家墨必斯、德魁西等人交流後受到很大刺激，對於歐洲漫畫作者在劇情和畫面表現方式，以及構思單一作品的創作速度感到羨慕，《GOGO MONSTER》便是他嘗試跳脫日漫連載的創作模式，深入挖掘內心所創作出的深沉之作。 本書找來日本裝幀大師祖父江慎設計，漫畫內容其實從精裝書封就開始...(展开全部)

Kubernetes is an open source orchestration platform for managing containerized applications. Despite widespread adoption of the technology, DevOps engineers might be unaware of the pitfalls of containerized environments. With this comprehensive book, you'll learn how to use the different security integrations available on the Kubernetes platform to safeguard your deployments in a variety of scenarios.Learn Kubernetes Security starts by taking you through the Kubernetes architecture and the networking model. You'll then learn about the Kubernetes threat model and get to grips with securing clusters. Throughout the book, you'll cover various security aspects such as authentication, authorization, image scanning, and resource monitoring. As you advance, you'll learn about securing cluster components (the kube-apiserver, CoreDNS, and kubelet) and pods (hardening image, security context, and PodSecurityPolicy). With the help of hands-on examples, you'll also learn how to use open source tools such as Anchore, Prometheus, OPA, and Falco to protect your deployments.By the end of this Kubernetes book, you'll have gained a solid understanding of container security and be able to protect your clusters from cyberattacks and mitigate cybersecurity threats.