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Interactive Applications Using Matplotlib

About This Book Bring your users and your data closer with interactive visualizations using Matplotlib and Python Create user;

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Matplotlib 3.0 Cookbook

visualizations using embedded texts and mathematical expressions Embed Matplotlib plots into other GUIs used for developing applications Use toolkits;

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Matplotlib 2.x By Example

Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book * Create and customize;

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Mastering matplotlib

About This Book Customize, configure, and handle events, and interact with figures using matplotlib Create highly intricate and;

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Data Visualization Python Javascript

Scrapy, Matplotlib, Pandas, Flask, and D3-for crafting engaging, browser-based visualizations. As a working example, throughout the book Dale;

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Interactive Data Visualization with Python

using interactive libraries Use Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plots Customize data visualization for different;

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The X Window System

For programmers developing interactive applications for the X Window System using the Motif user-interface toolkit. This completely updated;

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Matplotlib for Python Developers

knowledge of Python; no knowledge of Matplotlib is required. You will be creating 2D plots using Matplotlib in no time at all.;

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Web Application Development with R Using Shiny -

packages to access graphics from the web, make your own dashboards, use interactive maps, and more * Extend Shiny using JavaScript and jQuery with;

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Data Visualization with Python

data wrangling skills Hone your skill set by using tools like Matplotlib, Seaborn, and Bokeh Reinforce your knowledge of various data formats;

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Numerical Python

like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to;

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Advances in Intelligent Systems and Interactive Applications

various challenges and also limitations previously encountered by human beings using different machine learning algorithms, and analyzes recent;

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Quick Guide to Flash Catalyst

Quick Guide to Flash Catalyst covers how to build interactive websites and interfaces easily in Flash Catalyst using designs imported;

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Interactive Dramaturgies

Using numerous illustrations and case studies, the author maps out the creative process involved in producing interactive media, such as CD;

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Python Basics

is devoted to advanced topics like handling multi-dimensional arrays using NumPy and visualization using Matplotlib. Regular expressions and multi;

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Python GUI Programming - A Complete Reference Guide

visualizations using Tkinter Canvas and Matplotlib Understand the basics of 2D and 3D animation in GUI applications Explore PyQt's powerful features to;

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Raspberry Pi Image Processing Programming

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing;

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SciPy Recipes

* Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib * Effective recipes on advanced scientific computations;

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The Data Visualization Workshop

Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using;

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Introduction to Computation and Programming Using Python, third edition

The new edition of an introduction to the art of computational problem solving using Python. This book introduces students with little;

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Sams Teach Yourself Ajax, JavaScript, and PHP All in One

how to create interactive interfaces for Web applications using Ajax, JavaScript, and PHP and includes a CD-ROM that contains sample code;

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Using Communications Media in Open and Flexible Learning

An introduction to three types of interactive media - computer conferencing, audiographics and video;...

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Using Communications Media in Open and Flexible Learning

An introduction to three types of interactive media - computer conferencing, audiographics and video;...

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Advanced Mathematics and Mechanics Applications Using MATLAB

Since its introduction in 1984, MATLAB's ever-growing popularity and functionality have secured its ;...

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Mastering Python Scientific Computing

plotting library matplotlib for data visualization * Data analysis and visualization using Pandas, matplotlib, and IPython * Performing parallel;

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Learning Actionscript 2.0 For Macromedia Flash 8

in printed book form. As you work, keep this guide by your side for ready access to valuable information on using Flash. We've designed it so that;

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Mathematical Statistics with Applications

includes an enhanced eTextbook. Simulation activities using interactive applets and R embedded within the MindTap Reader help students visualize;

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