Python for Beginners: An Essential Guide to Easy Learning with Basic Exercises: Python programming Crash Course for Data Analysis and for Beginner Hackers

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Python for Beginners: An Essential Guide to Easy Learning with Basic Exercises: Python programming Crash Course for Data Analysis and for Beginner Hackers
 

  • Author:Conley Walsh
  • Length: 171 pages
  • Edition: 1
  • Publication Date: 2019-11-12
  • ISBN-10: B081D6M4JT
  • Sales Rank: #1316986 (See Top 100 Books)
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  • Buy Print:Buy from amazon


    Book Description

    When it comes to picking out the coding language that you want to work with, there are a lot of different options that you can go with. Some are going to provide you with a lot of power. Some are going to work specifically with certain operating systems. And others are going to work the best when it comes to working on a website or online. But one of the best coding languages for you to work with that will help improve your coding experience and will help you to do a lot of different programming applications, then you have to learn how to work with Python.

    Python is going to be a great coding language that helps you to really do a good job with many applications online and for programs that you want to make. It is easy enough for a beginner to use, in fact, it was designed to be used by those who are beginners and who have never coded before, while still having the strength that you need to handle some of the different harder applications, such as machine learning, that you would like to explore.

    There are a lot of different benefits that come with using the Python language and this is why so many people like to spend time learning how to work with this kind of language. There are some benefits that you are going to enjoy when you decide to learn how to code with Python.

    There are a lot of different support libraries that you are able to use. You will be able to find an extension and a library that works with Python for almost anything that you need. These libraries are great for providing you with the algorithms, the functions, and more that you need in order to get any coding task that you want to be done. You can work with just the traditional library that comes with Python originally, or you can go through and work with some of the other extensions and libraries based on the kind of project you would like to do.

    Another benefit that comes with this coding language is all of the different integration features that happen. Python can be a good thing to a programmer because it is going to integrate what is known as the Enterprise Application Integration. This is going to be useful because it can make sure that you can work with different operating systems, different coding languages, and more. There is almost nothing that Python isn’t able to help you out with, so learning how to use it can be so great.

    Python is also going to provide you with more productivity in the process. The language here is going to be designed as an object-oriented language, and it includes many different kinds of support libraries to help you get things done. Because of these resources, and the ease of use that comes with this language, the programmer is going to be able to get more done in a shorter amount of time. This can even help to improve how much productivity the programmer is going to enjoy while using some different coding languages along with Python.

    This guide will focus on the following:

    • Why python
    • Python for Data Analysis – Basics
    • Python Operators
    • Supervised Learning Algorithms
    • Creating & Accessing Your Python Dictionary
    • Introducing Variables
    • Naming Conventions and Comments
    • Handling Inputs
    • Working with the Conditional Statements
    • Exception Handling in the Python Language
    • Functions, Classes and Methods
    • Using Linear Regression for Predictions
    • Replacing and Correcting words
    • Using Jupyter notebook for user interaction
    • The Regular Expressions

    Data Visualization with Python… AND MORE!

    中文:

    书名:Python for Beginners: An Essential Guide to Easy Learning with Basic Exercises: Python programming Crash Course for Data Analysis and for Beginner Hackers

    在选择您想要使用的编码语言时,有很多不同的选项可供选择。有些会给你提供很大的动力。其中一些将专门用于特定的操作系统。而其他人在网站或在线上工作时会工作得最好。但对于您来说,使用最好的编码语言之一将有助于改善您的编码体验,并将帮助您进行许多不同的编程应用程序,然后您必须学习如何使用Python。

    Python将成为一种很棒的编码语言,它可以帮助您真正做好许多在线应用程序和您想要编写的程序的工作。它对于初学者来说非常容易使用,事实上,它是为那些初学者和以前从未编写过代码的人设计的,同时仍然具有处理一些不同的更难的应用程序所需的能力,例如您想要探索的机器学习。

    使用Python语言有很多不同的好处,这就是为什么这么多人喜欢花时间学习如何使用这种语言。当您决定学习如何使用Python编写代码时,您将享受到一些好处。

    您可以使用很多不同的支持库。您将能够找到一个扩展和一个可以与Python配合使用的库,以满足您几乎任何需要的需求。这些库非常适合为您提供所需的算法、函数和更多内容,以便完成您想要完成的任何编码任务。您可以只使用最初随Python提供的传统库,也可以根据您想要做的项目类型来使用其他一些扩展和库。

    这种编码语言带来的另一个好处是实现了所有不同的集成功能。对于程序员来说,Python可能是一件好事,因为它将集成所谓的企业应用程序集成。这将是有用的,因为它可以确保您可以与不同的操作系统、不同的编码语言等一起工作。几乎没有什么是Python不能帮到您的,所以学习如何使用它是非常棒的。

    在这个过程中,Python还将为您提供更高的生产力。这里的语言将被设计为面向对象的语言,它包括许多不同类型的支持库来帮助您完成任务。由于这些资源,以及这种语言带来的易用性,程序员将能够在更短的时间内完成更多工作。这甚至有助于提高程序员在使用一些不同的编码语言和Python时所享受的生产力。

    本指南将重点介绍以下内容:

    • Why python
    • Python for Data Analysis – Basics
    • Python运算符
    • 监督学习算法
    • 创建访问您的Python词典(&A)
    • 引入变量
    • 命名约定和注释
    • 处理输入
    • 使用条件语句
    • Python语言中的异常处理
    • 函数、类和方法
    • 使用线性回归进行预测
    • 替换和更正单词
    • 使用Jupyter笔记本进行用户交互
    • 正则表达式

    用PYTHON…实现数据可视化 AND MORE!

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