"Python数据分析手册：掌握Python编程与处理结构化数据的技巧"

The book "Utilizing Python for Data Analysis" provides a comprehensive guide to the specific details and basic principles of using Python for data control, processing, organization, and analysis. The main goal of this book is to introduce Python programming and the library and tool environment for data processing, with the aim of empowering the reader to become an expert in data analysis. While the title of the book is "Data Analysis", the main focus is on Python programming, libraries, and tools for data analysis. When the book refers to "data", it primarily means structured data, which encompasses all common formats of data such as tabular data with different types of columns, multi-dimensional arrays, interconnected tables using key columns, and time series with regular or irregular intervals. Although this is not an exhaustive list, most data sets can be transformed into a more suitable structured form for analysis and modeling, and if necessary, the features of the data set can also be extracted into a structured form. For example, a set of news articles can be processed into a word frequency table, which can then be used for sentiment analysis. The book also emphasizes the use of electronic spreadsheet software such as Mi in conjunction with Python for data analysis. In addition to introducing the fundamentals of Python programming, the book provides practical examples and case studies to demonstrate how Python can be applied to real-world data analysis tasks. Overall, "Utilizing Python for Data Analysis" serves as a comprehensive guide for individuals looking to expand their skills in data analysis through the use of Python programming and related tools.