Python for data analysis: Tutorial for beginners

Book Description

Do you want to learn Python for data analysis using NumPy, Pandas, and IPython ?You don’t know how to begin? You don’t need a boring and expensive textbook. This book is the best one for every readers.Grap your copy now!Why this book?There are several reasons: The author has explored everything about python for data analysis using pandas, NumPy, Ipython and Matplotlib libraries from the basics. A simple language has been used. Many examples have been given, both theoretically and programmatically. Screenshots showing program outputs have been added.The book is written step-by-step for beginners.Book Objectives:The Aims and Objectives of the Book: To help you understand why you should choose Python for data analysis tasks. To help you know the various data analysis libraries supported by Python and how to use them. To help you know how to analyze your business data and draw meaningful insights for effective decision making. To equip you with data analysis skills using Python programming language. To help you know where data analysis is applied today and how to use it in your everyday life.Who is this Book is for? :Here are the target readers for this book: Anybody who is a complete beginner to data analysis with Python or data analysis in general. Anybody who wants to advance their data analysis skills with Python programming language. Anybody who wants to know how to use data analysis for the benefit of their business or brand. Professionals in data science, computer programming, computer scientist. Professors, lecturers or tutors who are looking to find better ways to explain python for data analysis to their students in the simplest and easiest way. Students and academicians, especially those focusing on python programming, computer science,neural networks, machine learning, and deep learning. What do you need for this Book? :You are required to have installed the following on your computer: Python 3.X Numpy Pandas MatplotlibThe Author guides you on how to install and configure the rest of the Python libraries that are required for data analysis.What is inside the book? : Why Python for Data Analysis? Exploring the Libraries Installation and Setup Using IPython Numpy Arrays and Vectorized Computation Pandas Library Data Wrangling Data Visualization Data Aggregation Working with Time Series Data Applications of Data Analysis Today The content of this book is all about data analysis with Python programming language using NumPy, Pandas, and IPython. It has been grouped into chapters, with each chapter exploring a different aspect of data analysis. The author has provided Python codes for doing different data analysis tasks. All these codes have been tested to ensure they are working correctly. Corresponding explanations have also been provided alongside each piece of code to help the reader understand the meaning of the various lines of the code. In addition to this, screenshots showing the output that each code should return have been given. The author has used a simple language to make it easy even for beginners to understand. The author begins by exploring the basic to the complex tasks in data analysis.

中文：

书名：用于数据分析的Python：面向初学者的教程

您想学习使用NumPy、Pandas和IPython进行数据分析的Python吗？您不知道如何开始？你不需要一本枯燥而昂贵的教科书。这本书对每个读者来说都是最好的。现在就拿起你的书吧！为什么是这本书？原因有几个：作者已经从基础知识出发，使用PANAS、NumPy、IPython和Matplotlib库探索了关于Python的所有数据分析。使用了一种简单的语言。无论是从理论上还是从程序上，都给出了许多例子。已经添加了显示程序输出的屏幕截图。本书是为初学者逐步编写的。书的目标：书的目的和目标：帮助您了解为什么应该选择Python来执行数据分析任务。帮助您了解Python支持的各种数据分析库以及如何使用它们。帮助您了解如何分析您的业务数据，并为有效的决策提供有意义的见解。让您掌握使用Python编程语言进行数据分析的技能。为了帮助您了解当今数据分析在哪里应用，以及如何在日常生活中使用它。这本书是为谁写的？：本书的目标读者是：任何完全使用Python或一般数据分析进行数据分析的初学者。任何想要使用Python编程语言提高数据分析技能的人。任何想知道如何使用数据分析来为他们的业务或品牌造福的人。数据科学、计算机编程、计算机科学家等专业人士。教授，讲师或导师，他们正在寻找更好的方法，以最简单和最容易的方式向他们的学生解释用于数据分析的蟒蛇。学生和院士，特别是那些专注于蟒蛇编程、计算机科学、神经网络、机器学习和深度学习的人。这本书需要什么？：您需要在计算机上安装以下软件：Python3.x Numpy Pandas Matplotlib作者指导您如何安装和配置数据分析所需的其余Python库。本书中有什么？：为什么要使用Python进行数据分析？探索图书馆的安装和设置使用IPython Numpy数组和矢量化计算熊猫图书馆数据争论数据可视化数据聚合使用数据分析的时间序列数据应用程序本书的内容都是关于使用NumPy、Pandas和IPython编程语言进行数据分析的。它被分成几章，每一章都探讨了数据分析的不同方面。作者提供了用于执行不同数据分析任务的Python代码。所有这些代码都经过了测试，以确保它们正常工作。每段代码旁边也提供了相应的解释，以帮助读者理解代码各行的含义。除此之外，还给出了显示每个代码应该返回的输出的屏幕截图。作者使用了一种简单的语言，使其即使是初学者也很容易理解。作者首先探讨了数据分析中复杂任务的基本原理。