Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming

Book Description

An Absolute Beginner’s Guide to Learning Data Analysis Using Python, a Demanding Skill for Today

Key Features

• Hands-on learning experience of Python’s fundamentals.
• Covers various examples of how to code end-to-end data analysis with easy illustrations.
• An excellent starting point to begin your data analysis journey with Python programming.

Description

In an effort to provide content for beginners, the book ‘Data Analysis with Python’ provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.

Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.

Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python’s built-in data analysis capabilities.

What you will learn

• Learn the fundamentals of core Python programming for data analysis.
• Master Python’s most demanding data analysis and visualization libraries, including Pandas, NumPy, and Matplotlib.
• Refresh your step-by-step data analysis process with live examples.
• Extend your expertise to include real-time data analysis and the creation of simple Python scripts.
• Work with external files such as Excel, CSV, and others to clean them up for further analysis.

Who this book is for

This book is intended to help and teach college students and data professionals about Python’s data analysis capabilities while also allowing them to work with Python tools.

Before diving into this book, working knowledge of Python is a definite plus.

中文：

书名：使用Python进行数据分析：介绍NumPy、Pandas、Matplotlib和Python编程的基本元素

学习使用Python进行数据分析的绝对初学者指南，这是当今一项要求很高的技能

主要特点

• 掌握Python语言基础的实践学习经验。
• 介绍如何使用简单的插图编写端到端数据分析代码的各种示例。
• 这是开始您的数据分析之旅的一个很好的起点。

描述

为了努力为初学者提供内容，《使用Python进行数据分析》一书提供了学习数据分析的具体第一步。这本书由一位拥有数十年经验的数据专业人士撰写，为数据分析和众多数据科学过程提供了坚实的基础。在此过程中，读者将熟悉常见的Python库和简单的脚本编写技术。

本书通篇使用了Python及其许多著名的数据分析库，如Pandas、NumPy和Matplotlib，以执行数据分析项目的各种典型操作。

在介绍了Python编程基础之后，这本书结合了著名的数值计算和统计库来演示编程的基础，并附有许多实际例子。这本书提供了一个坚实的数据分析基础，通过教授的Python编程以及Python的内置数据分析能力。

你将学到什么

• 学习用于数据分析的核心Python编程的基础知识。
• 大师的最苛刻的数据分析和可视化程序库，包括Pandas、NumPy和Matplotlib。
• 使用现场示例更新您的逐步数据分析流程。
• 扩展您的专业知识，包括实时数据分析和创建简单的Python脚本。
• 使用外部文件(如Excel、CSV和其他文件)进行清理，以便进一步分析。

这本书是为谁而写的

这本书旨在帮助和教授大学生和数据专业人士关于Python的数据分析能力，同时也允许他们使用Python工具。

在深入阅读这本书之前，了解Python的工作知识将是一个明显的优势。