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    MatDescriptionlib for Python Developers Effective techniques for data visualization with Python

    11-06-2018, 16:19 Bo0mB0om
    Книги журналы
    MatDescriptionlib for Python Developers Effective techniques for data visualization with Python

    MatDescriptionlib for Python Developers, Second Edition by Aldrin Yim
    English | 25 Apr. 2018 | ISBN: 178862517X | 300 Pages | AZW3/EPUB/MOBI/PDF (conv) | 39.61 MB

    Leverage the power of MatDescriptionlib to visualize and understand your data more effectively

    Key Features
    Perform effective data visualization with MatDescriptionlib and get actionable insights from your data
    Design attractive graphs, charts, and 2D Descriptions, and deploy them to the web
    Get the most out of MatDescriptionlib in this practical guide with updated code and examples

    Book Description
    Python is a general-purpose programming language increasingly being used for data analysis and visualization. MatDescriptionlib is a popular data visualization package in Python used to design effective Descriptions and graphs. This is a practical, hands-on resource to help you visualize data with Python using the MatDescriptionlib library.

    MatDescriptionlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and Descriptions using MatDescriptionlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with MatDescriptionlib. After that, you'll embed and customize your Descriptions in third-party tools such as GTK+3, Qt 5, and wxWidgets. You'll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you'll explore MatDescriptionlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples.

    By the end of this book, you'll be thoroughly comfortable with using the popular Python data visualization library MatDescriptionlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.

    What you will learn
    Create 2D and 3D static Descriptions such as bar charts, heat maps, and scatter Descriptions
    Get acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of MatDescriptionlib
    Develop advanced static Descriptions with third-party packages such as Pandas, GeoPandas, and Seaborn
    Create interactive Descriptions with real-time updates
    Develop web-based, MatDescriptionlib-powered graph visualizations with third-party packages such as Django
    Write data visualization code that is readily expandable on the cloud platform

    Who this book is for
    This book is essentially for anyone who wants to create intuitive data visualizations using the MatDescriptionlib library. If you're a data scientist or analyst and wish to create attractive visualizations using Python, you'll find this book useful. Some knowledge of Python programming is all you need to get started.

    Table of Contents
    Introduction to MatDescriptionlib
    Getting Started with MatDescriptionlib
    Decorating Graphs with Description Styles and Types
    Advanced MatDescriptionlib
    Embedding MatDescriptionlib in GTK+3
    Embedding MatDescriptionlib in Qt 5
    Embedding MatDescriptionlib in wxWidgets Using wxPython
    Integrating MatDescriptionlib with Web Applications
    MatDescriptionlib in the Real World
    Integrating Data Visualization into the Workflow
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