Python Programming: 2 Books in 1: Python For Beginners & Machine Learning

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Python Programming: 2 Books in 1: Python For Beginners & Machine Learning
 

  • Author:Kevin Cooper
  • Length: 379 pages
  • Edition: 1
  • Publisher: Independently published
  • Publication Date: 2019-12-21
  • ISBN-10: 1678527564
  • ISBN-13: 9781678527563
  • Download:Register/Login to Download
  • Buy Print:Buy from amazon


    Book Description

    Are you curious about joining the Python world? If you want start learning Python but you’re afraid that it’s too difficult, this book is for you.

    This book explains Python in detail with the help of detailed coding examples that are usually not available in Python beginner-level books and that will make your journey easier.

    Python is a robust programming language and supports both functional and object-oriented concepts. We took a lot of care and we tried to explain a lot of concepts that are important for the success of an entry-level programmer. Along with all these basic concepts, we have tried to give some practical examples which can help the reader understand the concepts better.

    We will now discuss in detail the best parts of the book:

    • Brief history of Python and different development environments available
    • Variables and constants in detail, along with a lot of examples
    • Detailed reading about conditionals and loops along with programming code
    • Functions, modules, and object-oriented programming in detail
    • Files and their operations in detail
    • What probability, fundamental, statistics are and why you need to know them
    • Why linear algebra is important and  how you can visualize linear algebra problems representations (with examples)
    • How to load data for machine learning projects and CSV file
    • What the types of machine learning are, and what their impacts are to amplify various elements of business operations
    • What you need to know about Django
    • K-Nearest Neighbors and K-Means Clustering – what they are and how you can use them for regression and classification

    Plus, plenty of examples.

    Do you think that learning all of this is an insurmountable obstacle?

    Don’t worry because with this book you will have all the necessary material to be able to enter in the world of Python thanks to the simple but detailed explanations!

    This book will change the way you look at Python and machine learning.

    中文:

    书名:Python编程:2册合一:面向初学者的Python&机器学习

    你对加入Python世界感兴趣吗?如果你想开始学习Python,但又怕太难,这本书是为你准备的。

    这本书通过详细的编码示例详细解释了Python,这些示例通常是在Python初学者级别的书籍中找不到的,这将使您的旅程更轻松。

    Python是一种健壮的编程语言,同时支持函数式和面向对象的概念。我们花了很多心思,并试图解释很多概念,这些概念对于入门级程序员的成功非常重要。除了这些基本概念外,我们还试图给出一些实际的例子,帮助读者更好地理解这些概念。

    我们现在将详细讨论这本书最好的部分:

    • 简要介绍了Python的历史和可用的不同开发环境
    • 变量和常量的详细信息,以及大量的示例
    • 详细阅读有关条件句和循环以及编程代码的内容
    • 详细介绍了函数、模块和面向对象编程
    • Files and their operations in detail
    • 什么是概率、基础、统计以及为什么你需要知道它们
    • 为什么线性代数很重要,以及如何将线性代数问题的表示可视化(举例说明)
    • 如何为机器学习项目和CSV文件加载数据
    • 机器学习的类型是什么,它们对放大业务运营的各种元素有什么影响
    • 关于Django,你需要知道什么
    • K-最近邻域和K-均值聚类-它们是什么以及如何使用它们进行回归和分类

    另外,还有很多例子。

    你认为学习这一切是一个不可逾越的障碍吗?

    不要担心,因为有了这本书,你将拥有所有必要的材料,能够进入Python的世界,这要归功于简单但详细的解释!

    This book will change the way you look at Python and machine learning.

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