Kali Linux Wireless Penetration Testing Essentials. Plan and execute penetration tests on wireless networks with the Kali Linux distribution

Marco Alamanni, Aaron Johns

Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition

Sudharsan Ravichandiran

With significant enhancements in the quality and quantity of algorithms in recent years, this second edition of Hands-On Reinforcement Learning with Python has been revamped into an example-rich guide to learning state-of-the-art reinforcement learning (RL) and deep RL algorithms with TensorFlow 2 and the OpenAI Gym toolkit.In addition to exploring RL basics and foundational concepts such as Bellman equation, Markov decision processes, and dynamic programming algorithms, this second edition dives deep into the full spectrum of value-based, policy-based, and actor-critic RL methods. It explores state-of-the-art algorithms such as DQN, TRPO, PPO and ACKTR, DDPG, TD3, and SAC in depth, demystifying the underlying math and demonstrating implementations through simple code examples.The book has several new chapters dedicated to new RL techniques, including distributional RL, imitation learning, inverse RL, and meta RL. You will learn to leverage stable baselines, an improvement of OpenAI’s baseline library, to effortlessly implement popular RL algorithms. The book concludes with an overview of promising approaches such as meta-learning and imagination augmented agents in research.By the end, you will become skilled in effectively employing RL and deep RL in your real-world projects.

Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation

Jeroen Mulder, Henry Mulder

Healthcare today faces a multitude of challenges, which can be summed up as the barriers architects and consultants face in transforming the healthcare system into a more sustainable one. This book helps you to guide that transformation step by step.You’ll begin by understanding the need for this transformation, exploring related challenges, the possibilities of technology, and how human factors can be involved in digital transformation. The book will enable you to overcome inhibitions and plan various transformation steps using the Transformation into Sustainable Healthcare (TiSH) model and DevOps4Care. Next, you’ll use the observe, orient, decide, and act (OODA) loop as an iterative approach to address all stakeholders and adapt swiftly when situations change. Further, you’ll be able to build shared platforms that enable interaction between various stakeholders, including the technology-enabled care service teams. The final chapters will help you execute the transformation to sustainable healthcare using the knowledge you’ve gained while getting familiar with common pitfalls and learning how to avoid or mitigate them.By the end of this DevOps book, you will have an overview of the challenges, opportunities, and directions of solutions and be on your way toward starting the transformation into sustainable healthcare.

Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python

François Voron

FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, you’ll be able to create fast and reliable data science API backends using practical examples.This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. You'll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. You’ll also be introduced to the extensive ecosystem of Python data science packages. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, you’ll see how to implement a real-time face detection system using WebSockets and a web browser as a client.By the end of this FastAPI book, you’ll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI.

GraphQL Best Practices. Gain hands-on experience with schema design, security, and error handling

Artur Czemiel

In the ever-evolving landscape of web development, GraphQL has emerged as a powerful query language that addresses the limitations of traditional REST APIs. This guide delves deep into GraphQL, starting with its foundational principles and swiftly advancing to complex topics that will equip you with the skills you need to understand this technology.As you progress, you’ll cover advanced concepts such as schema design, security enhancements, and error handling. You'll also explore essential topics such as federation and the transition from REST to GraphQL, gaining a comprehensive understanding of these critical areas. The book helps you learn through practical examples in TypeScript, guiding you through building scalable and secure GraphQL backends. Additionally, you’ll get up to speed with the intricacies of frontend integration.By the end of this book, you’ll have the skills you need to implement real-world GraphQL solutions, creating efficient and robust applications that meet modern web development demands.

IPython Notebook Essentials. Compute scientific data and execute code interactively with NumPy and SciPy

Luiz Felipe Martins

Hands-On Linux Administration on Azure. Develop, maintain, and automate applications on the Azure cloud platform - Second Edition

Kamesh Ganesan, Rithin Skaria, Frederik Vos

Thanks to its flexibility in delivering scalable cloud solutions, Microsoft Azure is a suitable platform for managing all your workloads. You can use it to implement Linux virtual machines and containers, and to create applications in open source languages with open APIs.This Linux administration book first takes you through the fundamentals of Linux and Azure to prepare you for the more advanced Linux features in later chapters. With the help of real-world examples, you’ll learn how to deploy virtual machines (VMs) in Azure, expand their capabilities, and manage them efficiently. You will manage containers and use them to run applications reliably, and in the concluding chapter, you'll explore troubleshooting techniques using a variety of open source tools.By the end of this book, you'll be proficient in administering Linux on Azure and leveraging the tools required for deployment.

Machine Learning with R. Expert techniques for predictive modeling - Third Edition

Brett Lantz

Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.