Python数据分析简介：从数据采集到可视化
作为数据分析的入门书籍，本书以Python语言为基础，介绍了数据分析的全过程。本书内容涵盖数据的获取（即网络爬虫程序的设计）、初步数据的清洗与处理、使用机器学习算法进行建模与分析、使用可视化方法展示数据和结果。首先，本书不会涉及太高级的语法，但还是希望读者有一定的语法基础，以便更好地理解本书的内容。其次，本书侧重于应用Python完成一些数据分析和数据处理工作，即如何使用Python完成工作，而不是侧重于Python语言语法的原理。本书的目的是让初学者对数据分析过程本身和Python语言有一个非常直观的感受，为以后的深入学习打下基础。最后，读者不必按顺序阅读本书，因为每一章都比较有层次，可以根据兴趣或需要进行排列。比如第5章介绍了一些实用的小项目，很有趣，也不难。学习了前面的内容后，您可以阅读这部分内容。(As an introductory book on data analysis, this book introduces the whole process of data analysis based on Python language. The content of this book covers data acquisition (i.e. the design of web crawler program), preliminary data cleaning and processing, modeling and analysis using machine learning algorithms, and displaying data and results using visual methods. First of all, this book will not involve too high-level grammar, but we still hope that readers have a certain grammatical basis in order to better understand the content of this book. Secondly, this book focuses on the application of Python to complete some data analysis and data processing, that is, how to use Python to complete the work, rather than focusing on the principle of Python language syntax. The purpose of this book is to make beginners have a very intuitive feeling about the data analysis process itself and python language, so as to lay a foundation for further study in the future. Finally, readers do not have to read the book in order, because each chapter is hierarchical and can be arranged according to their interests or needs. For example, Chapter 5 introduces some practical small projects, which are very interesting and not difficult. After learning the previous content, you can read this part.)
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