Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book Learn how to set up an optimal Python environment for data visualization Understand how to import, clean and organize your data Determine different approaches to data visualization and how to choose the most appropriate for your needs Who This Book Is For If you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data then this book is for you. What You Will Learn Introduce yourself to the essential tooling to set up your working environment Explore your data using the capabilities of standard Python Data Library and Panda Library Draw your first chart and customize it Use the most popular data visualization Python libraries Make 3D visualizations mainly using mplot3d Create charts with images and maps Understand the most appropriate charts to describe your data Know the matplotlib hidden gems Use plot.ly to share your visualization online In Detail Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts. Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python. Style and approach A step-by-step recipe based approach to data visualization. The topics are explained sequentially as cookbook recipes consisting of a code snippet and the resulting visualization.
This monograph provides a comprehensive introduction to the classical geometric approximation theory, emphasizing important themes related to the theory including uniqueness, stability, and existence of elements of best approximation. It presents a number of fundamental results for both these and related problems, many of which appear for the first time in monograph form. The text also discusses the interrelations between main objects of geometric approximation theory, formulating a number of auxiliary problems for demonstration. Central ideas include the problems of existence and uniqueness of elements of best approximations as well as properties of sets including subspaces of polynomials and splines, classes of rational functions, and abstract subsets of normed linear spaces. The book begins with a brief introduction to geometric approximation theory, progressing through fundamental classical ideas and results as a basis for various approximation sets, suns, and Chebyshev systems. It concludes with a review of approximation by abstract sets and related problems, presenting novel results throughout the section. This text is suitable for both theoretical and applied viewpoints and especially researchers interested in advanced aspects of the field.
In the fall of 1912, the Ottoman Empire was in turmoil. In addition to the Albanian and the Yemen rebellions, the Empire was at war with Italy over the Libyan territory. Worse yet, cholera was spreading throughout the country, leaving a decimated population in its wake. In its weakness, the Ottoman Empire was ripe to be attacked, and the Balkan countries did so. On October 8, 1912, Montenegro declared war on the Ottoman Empire, beginning the first of the Balkan Wars. Embracing maturity and setting their differences aside, four nations joined together to form the Balkan League-Serbia, Greece, Montenegro, and Bulgaria. Despite the tremendous land victory celebrated by the Balkan League, disputes over dividing the won territory soon arose. Dissatisfied with its share of the Macedonia, Bulgaria attacked its former allies Serbia and Greece. On August 10, 1913, the Treaty of Bucharest ended the second conflict, but it did not bring the peace. In the First World War, which was initiated by Sarajevo assassination, Balkan again became theater of the war. The Balkan wars have been a popular topic for scholarly research since their resolution. Despite the attention this topic has received, however, the research is far from complete. In this study contributing to the documentation and understanding of this conflict, author Igor Despot has not only reviews the events of the wars, but also considers these events in light of pertinent cultural aspects, identifying the commonalities and differences that may have determined alliances or sparked conflict throughout Balkan history.
This book, as the fourth volume, continues on ultra-high temperature materials with melting (sublimation or decomposition) points around or over 2500 °C. In this quality the book has over-branched cross-links with the sections and tables of the previous Volumes I-III. Similarly to Volumes I-III, the book includes a thorough treatment of the physical and chemical properties of ultra-high temperature materials, namely such as W semi- and monocarbides, and continues the description of refractory carbides, which was begun from Volume II of the series. The book will be of interest to researchers, engineers, postgraduate, graduate and undergraduate students alike. The readers are provided with the full qualitative and quantitative assessment, which is based on the latest updates in the field of fundamental physics and chemistry, nanotechnology, materials science, design and engineering.
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