Python for Data Analytics

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Python for Data Analytics
 

  • Author:Alex Root
  • Length: 154 pages
  • Edition: 1
  • Publication Date: 2019-09-05
  • ISBN-10: B07XHP2SKZ
  • Sales Rank: #152929 (See Top 100 Books)
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    Book Description

    Learn data analysis using Python with this easy to follow beginners guide. It covers all aspects of processing, manipulation, crunching, and cleaning data using Python programming language.

    It has been designed to prepare you for:

    • analyzing data
    • creating relevant data visualizations
    • carrying out statistical analyses for large data
    • estimating the upcoming future trends by using current data
    • and lots more!

    This book will help you learn the various parts of Python programming language, its libraries, and scientific computation using Python. Learn to practically solve extensive sets of problems related to data analysis.

    Python is on par with other programming languages like MATLAB, Stata, R, SAS, and others when it comes to data analysis and data visualization. Python’s rich set of libraries (mainly Pandas) has grown rapidly in recent years and is considered one of the best among its competitors for tasks related to data manipulation. When combined with Python’s own internal solidity, as a general purpose programming language, we can say that it is an excellent choice to build data centric web applications.

    You will learn how to use the essential Python libraries required for data analysis like NumPy, Pandas, matplotlib, IPython, and SciPy. Each one of them performs a particular functionality for data analysis and you will be surprised at how easy it is.

    So what are you waiting for? Now is your chance to learn hands on Python with ease. Click the BUY NOW button to get started on your Python journey.

    中文:

    书名:适用于数据分析的Python

    学习使用Python进行数据分析 有了这本简单易懂的初学者指南。它涵盖了使用Python编程语言处理、操作、处理和清理数据的所有方面。

    它的设计目的是让您做好以下准备:

    • 分析数据
    • 创建相关数据可视化
    • 对大数据进行统计分析
    • 利用当前数据估计未来趋势
    • 还有更多!

    本书将帮助您学习Python编程语言的各个部分、它的库以及使用Python进行科学计算。学会实际解决与数据分析相关的大量问题。

    在数据分析和数据可视化方面,Python与其他编程语言,如MATLAB、Stata、R、SAS和其他语言不相上下。最近几年,Python丰富的库(主要是Pandas)迅速增长,被认为是与数据操作相关的任务中最好的竞争对手之一。结合Python自身的内部稳定性,作为一种通用的编程语言,我们可以说它是构建以数据为中心的Web应用程序的极佳选择。

    您将学习如何使用数据分析所需的基本Python库,如NumPy、Pandas、matplotlib、IPython和SciPy。它们中的每一个都执行特定的数据分析功能,您会惊讶于它是多么容易。

    那你还在等什么?现在是您轻松学习使用Python的机会了。点击立即购买按钮,开始您的Python之旅。

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