This book is an introduction to the use of Python Jupyter Notebooks (JNBs) for college math teachers and their students. Each chapter contains a JNB lab with solutions. Experienced teachers can modify these labs and create new labs tailored to their courses. The chapters were written by different authors/authorship teams, and as such, vary in style. Each chapter essentially can be read i

In data science, mastering a system environment with its tools and processes is essential to achieve minimum productivity. Feeling alien to an environment, using the wrong tools or combining the right tools in the wrong order can lead not only to effectivity limitations but also yield wrong results. Hence, in this book, besides basic computer knowledge and programming skills, students on

DevOps like most new approaches, is only a buzzword for many people. Everyone talks about it, but not everyone knows what it is. In broad terms, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner that enables the business to more quickly

RPA is the use of computer software "robots" to handle repetitive, ­rule-based digital tasks, interacting with applications and information sources the same way humans do now. At its most basic level, it's pretty impressive technology, and it gets more powerful all the time. The newest advances have robots not only handling more complex functions, but also they're learning to make some

This core Microsoft Excel text provides students with the skills needed to execute many personal and professional activities. It also prepares them to go on to more advanced skills using the Excel software. The text takes the approach of creating Excel worksheets that are accurate, tell a story, and can be helpful in making decisions. Personal decisions introduced include important purch

This textbook provides a comprehensive introduction to computer graphics for a one-semester undergraduate course. It is designed for computer science students with substantial programming experience in languages like Java, C, or JavaScript, which are used in the examples. The book's approach uses a simplified subset of OpenGL to introduce fundamental 3D graphics concepts, including geome

Time series databases enable a fundamental step in the central storage and analysis of many types of machine data. As such, they lie at the heart of the Internet of Things (IoT). There's a revolution in sensor - to - insight data flow that is rapidly changing the way we perceive and understand the world around us. Much of the data generated by sensors, as well as a variety of other sourc

One viable option for organizations looking to harness massive amounts of data is the data lake, a single repository for storing all the raw data, both structured and unstructured, that floods into the company. But that isn't the end of the story. The key to making a data lake work is data governance, using metadata to provide valuable context through tagging and cataloging. This practic

This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studi

Statistics is quickly becoming the most important and multi-disciplinary field of mathematics. According to the American Statistical Association, statistician is one of the top ten fastest-growing occupations and statistics is one of the fastest-growing bachelor degrees. Statistical literacy is essential to our data driven society. Despite the increased importance and demand for statisti