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In den letzten Jahrzehnten haben die bildgebenden Möglichkeiten des Computers zum vieldiskutierten »Pictorial Turn« – der Wende zum Bild – in den Naturwissenschaften geführt. Mit dem öffentlichkeitswirksamen Auftritt der Bilder von Chaos und fraktaler Geometrie sowie ihrer breiten Popularisierung ab Mitte der 1980er-Jahre erfasste dieser Trend auch die Mathematik und damit diejenige Disziplin, die als »Reich des reinen Denkens« traditionell für ihre Bilderskepsis bekannt war. Die Bilder dieses Forschungsfelds werden in der vorliegenden Studie zum ersten Mal bildtheoretisch reflektiert und diskutiert. Im Zentrum stehen Arbeitsmaterialien aus privaten Bildarchiven von Mathematikern und Physikern. Eine besondere Rolle spielt dabei die Handzeichnung als Denkform, die auf der Schwelle zum digitalen Medienumbruch eine neue Schwungkraft gewinnt.

Fractals. --- Aesthetics. --- Art and philosophy. --- Visual analytics. --- Visualization.

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Visual analytics. --- Computer networks --- WebGL (Computer program language) --- Dimension reduction (Statistics) --- Design and construction.

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If you are a web developer with a basic knowledge of HTML, CSS, and JavaScript and want to quickly get started with this web charting technology, this is the book for you. This book will also serve as an essential guide to those who have probably used a similar library and are now looking at migrating to Highcharts.

Information visualization. --- Software visualization. --- JavaScript (Computer program language) --- Domain-specific programming languages --- Object-oriented programming languages --- Scripting languages (Computer science) --- Information visualization --- Data visualization --- Visualization of information --- Information science --- Visual analytics

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Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python In Detail IPython is at the heart of the Python scientific stack. With its widely acclaimed web-based notebook, IPython is today an ideal gateway to data analysis and numerical computing in Python. IPython Interactive Computing and Visualization Cookbook contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. The first part covers programming techniques, including code quality and reproducibility; code optimization; high-performance computing through dynamic compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. What You Will Learn Code better by writing high-quality, readable, and well-tested programs; profiling and optimizing your code, and conducting reproducible interactive computing experiments Master all of the new features of the IPython notebook, including the interactive HTML/JavaScript widgets Analyze data with Bayesian and frequentist statistics (Pandas, PyMC, and R), and learn from data with machine learning (scikit-learn) Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV Learn how to write blazingly fast Python programs with NumPy, PyTables, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA and OpenCL), parallel IPython, MPI, and many more

Python (Computer program language) --- Scripting languages (Computer science) --- Command languages (Computer science) --- Information visualization. --- Interactive computer systems. --- Computer systems --- Online data processing --- Data visualization --- Visualization of information --- Information science --- Visual analytics --- JCLs (Computer science) --- Job control languages (Computer science) --- Shell languages (Computer science) --- Programming languages (Electronic computers)

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High Impact Data Visualization with Power View, Power Map, and Power BI helps you take business intelligence delivery to a new level that is interactive, engaging, even fun, all while driving commercial success through sound decision-making. Learn to harness the power of Microsoft’s flagship, self-service business intelligence suite to deliver compelling and interactive insight with remarkable ease. Learn the essential techniques needed to enhance the look and feel of reports and dashboards so that you can seize your audience’s attention and provide them with clear and accurate information. Also learn to integrate data from a variety of sources and create coherent data models displaying clear metrics and attributes. Power View is Microsoft's ground-breaking tool for ad-hoc data visualization and analysis. It's designed to produce elegant and visually arresting output. It's also built to enhance user experience through polished interactivity. Power Map is a similarly powerful mechanism for analyzing data across geographic and political units. Power Query lets you load, shape and streamline data from multiple sources. PowerPivot can extend and develop data into a dynamic model. Power BI allows you to share your findings with colleagues, and present your insights to clients. High Impact Data Visualization with Power View, Power Map, and Power BI helps you master this suite of powerful tools from Microsoft. You'll learn to identify data sources, and to save time by preparing your underlying data correctly. You'll also learn to deliver your powerful visualizations and analyses through the cloud to PCs, tablets and smartphones. Simple techniques take raw data and convert it into information. Slicing and dicing metrics delivers interactive insight. Visually arresting output grabs and focuses attention on key indicators.

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