Radiotherapy remains a major non-surgical treatment modality for malignant disease, and an understanding of how this treatment works is essential in ensuring optimum practice. Trainees in oncology learn about ionising radiation, but to understand it fully they must also understand the physics relevant to its use in therapy. This book is written specifically for the oncology and radiation team, supporting clinical oncologists in their understanding of the science which underpins radiotherapy. It begins with basic concepts and then explores the principles and practice of physics as it relates to radiotherapy, including discussion of specific types of therapy. Written by authors chosen for their expertise in in their respective fields, and aligned to the Royal College of Radiologists FRCR Curriculum in Oncology, this volume will provide an excellent source of information for trainee and practicing oncologists, and wider radiotherapy teams. This second edition has been fully updated to reflect advances in technology and the increased complexity in modern radiotherapy, including two new chapters on imaging and a new brachytherapy chapter.

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book * Develop and apply advanced analytical techniques with Spark * Learn how to tell a compelling story with data science using Spark's ecosystem * Explore data at scale and work with cutting edge data science methods Who This Book Is For This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn * Learn the design patterns that integrate Spark into industrialized data science pipelines * See how commercial data scientists design scalable code and reusable code for data science services * Explore cutting edge data science methods so that you can study trends and causality * Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs * Find out how Spark can be used as a universal ingestion engine tool and as a web scraper * Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining * Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams * Study advanced Spark concepts, solution design patterns, and integration architectures * Demonstrate powerful data science pipelines In Detail Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance -solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approach This is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.

Mankind scans the heavens, searching ever hopefully in the belief that intelligent life exists elsewhere in the universe, and that we are not alone. Stag is a story of mankind's hope being realised. As to intelligent life however...... When three friends decide to create the greatest stag party ever, little do they realise the universal impact that their actions will have. If it comes as a surprise to them, the population of the small Pennsylvania town of Boyerstown, and the world in general, are about to have the shock of their lives.