Matplotlib is a plotting library for Python. It provides object-oriented APIs for embedding plots into applications. It is similar to MATLAB in capacity and syntax.
It is an unofficial and free Python Matplotlib book created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardwor...
If your job involves working with data in any manner, you cannot afford to ignore the R revolution! If your domain is called data analysis, analytics, informatics, data science, reporting, business intelligence, data management, big data, or visualization, you just have to learn R as this programming language is a game-changing sledgehammer.
How...
This open education resource presents effective system modelling methods, including Lagrangian and bond graph, and the application of a relevant engineering software tool, 20-sim. The content is designed for engineering students and professionals in the field to support their understanding and application of these methods for modelling, simulation,...
This book visualizes mortality dynamics in the Lexis diagram. While the standard approach of plotting death rates is also covered, the focus in this book is on the depiction of rates of mortality improvement over age and time. This rather novel approach offers a more intuitive understanding of the underlying dynamics, enabling readers to better und...
This book is an open access publication.Forest ecosystems in Central Europe are changing as a result of anthropogenic influences and changing climate conditions. As such, a large-scale monitoring programme was undertaken in order to understand the influence of site modification, deposition of air pollutants, and climate.
This book presents the sci...
The dramatic change in the price and accessibility of data demands a new focus on data analytic literacy. This book is intended for use by people who perform regular data analyses. It aims to give a brief summary of the key ideas, practices, and pitfalls of modern data analysis. One goal is to summarize in a succinct way the most common difficultie...
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature i...
This open access book follows the idea that security policy must be based on strategic analysis. Defence policy and the role of the armed forces can subsequently be determined on the grounds of said analysis. More than ever, internal and external security, and developments both in the Netherlands and abroad are interconnected. The world order is sh...
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual...
The MATLAB Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow....
Ccurrently many of Julia's users are hard-core developers that contribute to the language's standard libraries, and to the extensive package eco-system that surrounds it. Therefore, much of the Julia material available at present is aimed at other developers rather than end users. This is where our book comes in, as it has been written wi...
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such a...
Story, in the largest sense of the term, is arguably the single most important aspect of narrative. But with the proliferation of antimimetic writing, traditional narrative theory has been inadequate for conceptualizing and theorizing a vast body of innovative narratives. In A Poetics of Plot for the Twenty-First Century: Theorizing Unruly Narrativ...
Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical su...