Python For Data Analysis: The Crash Course for Beginners to Learn the Basics of Data Analysis with Python, Database Management and Programming with Pandas, NumPy and Ipython

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Python For Data Analysis: The Crash Course for Beginners to Learn the Basics of Data Analysis with Python, Database Management and Programming with Pandas, NumPy and Ipython
 

  • Author:Daniel Géron
  • Length: 176 pages
  • Edition: 1
  • Publisher: Tiger Gain Ltd
  • Publication Date: 2021-01-18
  • ISBN-10: 1914306600
  • ISBN-13: 9781914306600
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  • Buy Print:Buy from amazon


    Book Description

    Interested in starting Data analysis and not sure which Programming language to use to develop Data Analysis Programs? Are you a beginner and would like to learn Python in order to develop the necessary skills for data analysis and note sure where to start?

    Do you have data and want to analyze and provide professional figures for your presentation and communication and don’t know which programming language to use or interested in using Python?

    This book is intended to address all these questions. In fact, the aim of this book is providing the absolute beginners or other programmers that has no experience with Python programming the basic and fundamental tools of the Python language.

    This book provides not only the basic syntax of Python but also an advanced command to evaluate the performance of your code in interactive programming environment (i.e. Jupyter) and a guide to use the fundamentals Python libraries for data analysis which are Pandas, NumPy and Matplotlib libraries. All these libraries are presented with examples with real data so you can practice at the same time when learning the functionalities of this library.

    By reading this book, you will learn:

    • The characteristics and utilities of using Python over other programming languages
    • How to get started and install Python
    • The basic syntax of Python programming and different basic data structures in Python
    • How to develop modules and functions in Python
    • How to install and use magic command in Ipython
    • Functionalities of NumPy library for numerical programming
    • Functionalities of Pandas library for data analysis
    • Creating and customizing figures to visualize data with Matplotlib library

    Even if don’t have any background or skills in programming, this book will provide you and help you develop the required skills and basic technics to start data analysis with Python programming. It also provides you with code and data so you can practice. By reading this book will easily learn how to use python and Python libraries for easy data analysis and management. By developing the skills provided in this book, you will easily develop more advanced skills and acquire advanced technics that will allow to go from a beginner to an expert in Python.

    中文:

    书名:数据分析的Python:初学者学习使用Python进行数据分析的基础知识、数据库管理以及使用Pandas、NumPy和IPython编程的速成课程

    对开始数据分析感兴趣,但不确定使用哪种编程语言来开发数据分析程序?您是初学者吗?想要学习Python,以便掌握必要的数据分析技能,并注意从哪里开始吗?

    你是否有数据,想要为你的演示和交流分析和提供专业的数字,并且不知道应该使用哪种编程语言,或者对使用Python感兴趣?

    这本书旨在解决所有这些问题。事实上,这本书的目的是为绝对的初学者或其他没有Python编程经验的程序员提供Python语言的基本和基本工具。

    这本书不仅提供了Python的基本语法,而且还提供了一个高级命令来评估您在交互式编程环境(即Jupyter)中的代码性能,并指导您使用基本的Python库进行数据分析,这些库是Pandas、NumPy和Matplotlib库。所有这些库都提供了带有真实数据的示例,以便您在学习该库的功能时可以同时进行练习。

    通过阅读这本书,您将了解到:

    • 与其他编程语言相比,使用Python语言的特点和实用性
    • 如何入门和安装Python
    • Python编程的基本语法和不同的基本数据结构
    • 如何在Python中开发模块和函数
    • 如何在IPython中安装和使用魔术命令
    • 数值编程NumPy库的功能
    • Functionalities of Pandas library for data analysis
    • 使用Matplotlib库创建和定制图形以可视化数据

    即使你在编程方面没有任何背景或技能,这本书也会为你提供并帮助你发展开始使用Python编程进行数据分析所需的技能和基本技术。它还为您提供代码和数据,以便您可以练习。通过阅读这本书将很容易地学习如何使用Python和Python库来轻松地进行数据分析和管理。通过发展本书中提供的技能,您将很容易地发展出更高级的技能,并获得先进的技术,从而使您能够从一个初学者变成一个在Python方面的专家。

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