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...
This concise and highly accessible textbook outlines the principles and techniques of storytelling. It is intended as a high-school and college-level introduction to the central concepts of narrative theory - concepts that will aid students in developing their competence not only in analysing and interpreting short stories and novels, but also in w...
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...
There's a huge range of computer-controlled machines used by makers - 3D printers, laser cutters, CNC mills and more - but the plotter is the easiest to make. This makes it a great build for getting started in the world of computer-controlled machines. For around £15 you can create your own drawing machine with our guide.
- Learn how hydra...
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 presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapte...
The MATLAB Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow....
The R Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow....
R is a programming language and free software environment for statistical computing and graphics. It is an unofficial and free R ebook created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow....
A little boy and his dad find a plot full of litter. Can they turn it into something wonderful?...
This open book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming.
The book uses relevant examples from mathematics a...
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 presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs o...
This short open access book investigates the role of renewable energy in East Africa to provide policy-relevant inputs for the achievement of a cost-effective electrification process in the region. For each country, the authors review the current situation in the domestic power sector, adopt a GIS-based approach to plot renewable energy resources p...
This book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of mark...
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs o...
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...
This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization. The pedagogical strategy is to use one case study – an ordinary differential equation describing exponential decay processes – to illustrate fundamental concepts ...
This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier - Stokes equations, and systems of nonlinear advection - diffusion - reaction equations, it...
If you understand basic mathematics and know how to program with Python, you're ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they're applied in the real world. In the first chapter alone, you'll be able to decom...
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
By working with a single case study throughout this thoroughly revised book, ...
Modeling and Simulation in Python is an introduction to physical modeling using a computational approach. It is organized in three parts:
- The first part presents discrete models, including a bikeshare system and world population growth.
- The second part introduces first-order systems, including models of infectious disease, thermal systems, an...
This is the first book-length exploration of the thoughts and experiences expressed by dementia patients in published narratives over the last thirty years. It contrasts third-person caregiver and first-person patient accounts from different languages and a range of media, focusing on the poetical and political questions these narratives raise: wha...
This book is an outcome of the collaboration between the Soil and Water Management & Crop Nutrition Section, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency (IAEA), Vienna, Austria, and the International Center for Biosaline Agricultur...
This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platf...
Modeling and simulation are powerful tools for explaining the world, making predictions, designing things that work, and making them work better. Learning to use these tools can be difficult; this book is my attempt to make the experience as enjoyable and productive as possible.
By reading this book - and working on the exercises - you will lear...
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...
How to Read a Folktale offers the first English translation of Ibonia, a spellbinding tale of old Madagascar. Ibonia is a folktale on epic scale. Much of its plot sounds familiar: a powerful royal hero attempts to rescue his betrothed from an evil adversary and, after a series of tests and duels, he and his lover are joyfully united with a marriage...
Principles of Microeconomics is an adaptation of the textbook, Microeconomics: Markets, Methods, and Models by D. Curtis and I. Irvine, which provides concise yet complete coverage of introductory microeconomic theory, application and policy in a Canadian and global environment.
This adaptation employs methods that use equations sparingly and do...
This free book, or really a "coursebook" for a college freshman-level class, has been updated for Spring 2014 and provides an introduction to programming and problem solving using both Matlab and Mathcad. We provide a balanced selection of introductory exercises and real-world problems (i.e. no "contrived" problems). We include ...
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...