Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python

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Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python
 

  • Author:Ashwin Pajankar
  • Length: 160 pages
  • Edition: 1
  • Publisher: Apress
  • Publication Date: 2020-11-30
  • ISBN-10: 1484264541
  • ISBN-13: 9781484264546
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  • Buy Print:Buy from amazon


    Book Description

    Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book’s programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations.

    You’ll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python’s popular data visualization charting library. You’ll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You’ll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets.

    The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. With Practical Python Data Visualization you’ll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.

    What You’ll Learn

    • Review practical aspects of Python Data Visualization with programming-friendly abstractions
    • Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu
    • Visualize COVID-19 data sets with Pandas

    Who This Book Is For 

    Data Science enthusiasts and professionals, Business analysts and managers, software engineers, data engineers.

    中文:

    书名:实用的Python数据可视化:学习使用Python进行数据可视化的一种快速途径

    通过本分步详细的指南,快速开始使用Python3编程以实现数据可视化。这本书的编程友好的方法使用的库,如皮革,NumPy,Matplotlib,和Pandas将作为一个模板的商业和科学可视化。

    您将从安装Python3开始,了解如何在Jupyter笔记本中工作,并探索Leather,这是Python流行的数据可视化制图库。还将向您介绍科学的Python3生态系统,并使用NumPy的基础知识,NumPy是该生态系统不可分割的一部分。后面的章节重点介绍各种NumPy例程,以及使用matplotlib开始科学数据可视化。您将回顾使用图形和网络实现的3D数据可视化,最后介绍使用Pandas实现的数据可视化,包括新冠肺炎数据集的可视化。

    这些代码示例在Ubuntu、Windows和Raspberry PI OS等流行平台上进行了测试。有了他们实用的Python数据可视化通过Pandas和Jupyter笔记本界面,您将掌握数据可视化的核心概念。

    你会学到什么?

    • 回顾使用编程友好的抽象实现Python数据可视化的实用方面
    • 在多个平台上安装Python3和Jupyter,包括Windows、Raspberry PI和Ubuntu
    • 与熊猫一起可视化新冠肺炎数据集

    这本书是为谁写的

    数据科学爱好者和专业人士、商业分析师和经理、软件工程师和数据工程师。

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