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.

This book is for Go developers who are familiar with the Go syntax and can develop, build, and run basic Go programs. If you want to explore the field of machine learning and you love Go, then this book is for you! Machine Learning with Go will give readers the practical skills to perform the most common machine learning tasks with Go. Familiarity with some statistics and math topics is necessary.

The drastic decisions you make, to do the things that you are good at, is the best way to self-realisation and authenticity. It also forms the gateway to contributing to society. By developing both your skills and talent, you automatically become more precious and beneficial to your surrounding environment. Doing the things that you are good at is almost like a life insurance, ...(展开全部)

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)

Get a comprehensive understanding of gRPC fundamentals through real-world examples. With this practical guide, you’ll learn how this high-performance interprocess communication protocol is capable of connecting polyglot services in microservices architecture, while providing a rich framework for defining service contracts and data types. Complete with hands-on examples written ...(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.

In Black Hat Go, you'll learn how to write powerful and effective penetration testing tools in Go, a language revered for its speed and scalability. Start off with an introduction to Go fundamentals like data types, control structures, and error handling; then, dive into the deep end of Go’s offensive capabilities as you learn how to: Write a simple TCP proxy to use concurrency...(展开全部)

In Black Hat Go, you'll learn how to write powerful and effective penetration testing tools in Go, a language revered for its speed and scalability. Start off with an introduction to Go fundamentals like data types, control structures, and error handling; then, dive into the deep end of Go’s offensive capabilities as you learn how to: Write a simple TCP proxy to use concurrency...(展开全部)

For thousands of years, tracking animals meant following footprints. Now satellites, drones, camera traps, cellphone networks, apps and accelerometers allow us to see the natural world like never before. Geographer James Cheshire and designer Oliver Uberti take you to the forefront of this animal-tracking revolution. Meet the scientists gathering wild data - from seals mapping ...(展开全部)