Python for Data Analysis: A Practical Guide for Manipulating, Processing, Cleaning, and Crunching Data Sets in Python. How to Effectively Solve a Wide Range of Data Analysis Problems

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Python for Data Analysis: A Practical Guide for Manipulating, Processing, Cleaning, and Crunching Data Sets in Python. How to Effectively Solve a Wide Range of Data Analysis Problems
 

  • Author:Dylan Penny
  • Length: 107 pages
  • Edition: 1
  • Publication Date: 2021-01-01
  • ISBN-10: B08RWQPFT5
  • Sales Rank: #47044 (See Top 100 Books)
  • Download:Register/Login to Download
  • Buy Print:Buy from amazon


    Book Description

    How many times have you thought about learning how to code but got discouraged as you didn’t have any technical experience, the time to learn, or, simply, you didn’t think you were intelligent enough? This is your lucky day. Keep reading to discover more about it!

    You don’t need a costly computer science degree, a genius mind, and a 1000-page textbook to learn Python’s basics for Data Analysis.

    This book, PYTHON FOR DATA ANALYSIS: A PRACTICAL GUIDE TO MANIPULATING, PROCESSING, CLEANING, AND CRUNCHING DATA SETS IN PYTHON. HOW TO EFFECTIVELY SOLVE A WIDE RANGE OF DATA ANALYSIS PROBLEMS, is a concise, step-by-step guide to Python for Data Analysis.

    Many books about Pythons are theoretical and have little to no practical examples. This manual offers a plethora of simple illustrations and examples to underline core concepts and enhance your understanding. Loads of practice exercises are provided to make you learn fast, remember, and build a thorough understanding of the key concepts.

    Are you ready to find out more?

    Here’s a short preview of what you will learn inside this book:

    • Why Python for data analysis? 
    • Data analysis bases
    • Python libraries and installation
    • Python language basics, ipython and jupyter notebooks
    • Built-in data structures, functions, and files       
    • Introduction to modeling libraries in Python

    …And so much more!

    This book will offer you a comprehensive explanation of Python for data analysis while not overpowering you with loads of information. Compared to other books, the examples’ outputs are given, so you don’t need to wait.

    中文:

    书名:用于数据分析的Python:在Python中操作、处理、清理和处理数据集的实用指南。如何有效地解决广泛的数据分析问题

    有多少次你想过学习如何编程,但因为没有任何技术经验,没有学习的时间,或者只是因为你认为自己不够聪明而灰心丧气?今天是你的幸运日。继续阅读,发现更多关于它的信息!

    您不需要昂贵的计算机科学学位、天才的头脑和1000页的教科书来学习Python的数据分析基础知识。

    这本书,《用于数据分析的Python:在Python中操作、处理、清理和处理数据集的实用指南》。如何有效地解决广泛的数据分析问题,是用于数据分析的Python的简明分步指南。

    许多关于蟒蛇的书都是理论上的,几乎没有实际的例子。本手册提供了过多的简单插图和示例,以强调核心概念并加深您的理解。我们提供了大量的练习,帮助您快速学习、记住并彻底理解关键概念。

    你准备好了解更多了吗?

    以下是你将在这本书中学到的内容的简短预览:

    • Why Python for data analysis? 
    • 数据分析基础
    • Python库和安装
    • Python语言基础知识、IPython和Jupyter笔记本
    • 内置数据结构、函数和文件。
    • 在Python中建模库简介

    …还有更多!

    这本书将为您提供用于数据分析的全面的Python解释,同时不会让您被大量信息淹没。与其他书籍相比,例子的输出是给出的,所以你不需要等待。

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