IPython Interactive Computing and Visualization Cookbook

Learn IPython for interactive Python programming, high-performance numerical computing, and data visualization Overview A practical step-by-step tutorial which will help you to replace the Python console with the powerful IPython command-line interface Use the IPython notebook to modernize the way you interact with Python Perform highly efficient computations with NumPy and Pandas Optimize your code using parallel computing and Cython In Detail You already use Python as a scripting language, but did you know it is also increasingly used for scientific computing and data analysis? Interactive programming is essential in such exploratory tasks and IPython is the perfect tool for that. Once youve learnt it, you won't be able to live without it. "...

Learn how to create interactive HTML5 charts and graphs with canvas, JavaScript, and open source tools Overview Build interactive visualizations of data from scratch with integrated animations and events Draw with canvas and other html5 elements that improve your ability to draw directly in the browser Work and improve existing 3rd party charting solutions such as Google Maps In Detail The HTML5 canvas tag makes creating any plot shape easy, all you have to do then is fill it with exciting visualizations written in JavaScript or using other visualization tools. "HTML5 Graphing and Data Visualization Cookbook" is the perfect break into the world of Canvas, charts, and graphs in HTML5 and JavaScript. In this book we will go through a journe...

Over 60 recipes that will enable you to learn how to create attractive visualizations using Python's most popular libraries Overview Learn how to set up an optimal Python environment for data visualization Understand the topics such as importing data for visualization and formatting data for visualization Understand the underlying data and how to use the right visualizations In Detail Today, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help ...