PYTHON FOR DATA ANALYSIS

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PYTHON FOR DATA ANALYSIS
 

  • Author:Clark Wes
  • Length: 174 pages
  • Edition: 1
  • Publisher: Independently published
  • Publication Date: 2019-11-30
  • ISBN-10: 1670022471
  • ISBN-13: 9781670022479
  • Download:Register/Login to Download
  • Buy Print:Buy from amazon


    Book Description

    Are you looking for a book with in-depth information on data analysis with Python? Do you want to know the basics of programming and know more in a short time? Know the data analysis with an easy and accessible programming language?

    “Python for Data Analysis” is the book that will give you the information you need to access the basics of programming related to data analysis with Python.

    Python has transitioned over the years to provide accurate solutions for the day-to-day problems that face society. More programmers are getting into the programming field to improve what has already been there. However, that process requires dedication and self-motivation. Programming is not for the faint-hearted, but with the right mindset, you can achieve more within a short duration. All you need to know are the basics of Python programming to begin the coding journey. This book combines information that is crucial in data analysis when using Python.

    The area of computer programming is now a popular discipline among many computer users. The emergence of this field as a popular area has seen the explosion of various software programs that can assist in data analysis and interpretation. At the moment, there exist different computer languages which can support a computer user to handle data through creation, storage, and recovery of information. The impact of these programs is to substitute the standard forms of analysis that are tedious and time-consuming. The plans have various attributes that enable users to explain data and create theories. This means that these programs are robust and reliable in conducting qualitative data analysis.

    The computer qualitative data analysis techniques, on the other hand, are liked by many because of their simplicity and have outstanding attributes that assist in data analysis. These attributes save time, are simple to study and understand and apply fewer finances when compared to programming languages.

    You will learn:

    • Definition of Python programming as well as the skills that learners should possess for a successful adventure.
    • The History of Python programming
    • How to download and install Python
    • The definition of Python variables and the crucial naming sequence that programmers should be well conversant with.
    • Types of variables and data variables in Python
    • Computer data management and analysis
    • Top 10 Python Libraries
    • …and more.

    中文:

    书名:PYTHON FOR DATA ANALYSIS

    Are you looking for a book with in-depth 有关使用Python进行数据分析的信息?你想知道编程的基础知识和 在短时间内了解更多? Know the data analysis with an easy and accessible programming language?

    《用于数据分析的Python》是一本为您提供所需信息的书籍,它将为您提供访问与使用Python进行数据分析相关的编程的基础知识。

    多年来,Python一直在转变,为社会面临的日常问题提供准确的解决方案。越来越多的程序员正在进入编程领域,以改进那里已经存在的东西。然而,这一过程需要奉献精神和自我激励。编程不是胆小鬼,但只要有正确的心态,你就能在短时间内取得更多成就。要开始编码之旅,您只需了解Python编程的基础知识即可。本书结合了在使用Python时对数据分析至关重要的信息。

    计算机编程领域现在是许多计算机用户的一门流行学科。这一领域作为一个热门领域的出现,见证了各种可以帮助数据分析和解释的软件程序的爆炸性增长。目前,存在不同的计算机语言,它们可以支持计算机用户通过创建、存储和恢复信息来处理数据。这些程序的影响是取代繁琐和耗时的标准分析形式。这些计划具有各种属性,使用户能够解释数据和创建理论。这意味着这些程序在进行定性数据分析方面是健壮和可靠的。

    另一方面,计算机定性数据分析技术因其简单性和有助于数据分析的突出特性而受到许多人的喜爱。与编程语言相比,这些属性节省了时间,易于学习和理解,并且应用的资金更少。

    You will learn:

    • 定义了Python编程以及 成功的学习者应具备的技能 adventure.
    • The History of Python programming
    • How to download and install Python
    • 概念的定义 PYTHON变量 以及程序员应该非常熟悉的关键命名顺序。
    • Python中的变量类型和数据变量
    • Computer data 管理和分析
    • 最受欢迎的十大Python库
    • …and more.
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