Python数据可视化实战教学教案全解析

The "Python Data Visualization Practical Book Lesson 1-8 Complete.docx" is a comprehensive guide to understanding and implementing data visualization using Python. The course is designed for students majoring in big data technology and related fields and consists of a total of 64 hours, including 28 hours of theory and 36 hours of practical exercises, with a total of 4.0 credits. The first chapter of the book provides an overview of Python data visualization. The teaching objectives and basic requirements of this chapter are to help students understand the rapid growth of data in various industries, the storage structure of data, and the importance of data visualization in conveying information effectively. The chapter also introduces the concept and process of data visualization, common types of visualization graphics and their functions, popular visualization tools, and Python data visualization libraries. Furthermore, it covers the operation and usage methods of the Jupyter integrated development environment for Python data visualization. In summary, the "Python Data Visualization Practical Book Lesson 1-8 Complete.docx" provides a comprehensive introduction to the concept and process of data visualization using Python. It equips students with the necessary knowledge and skills to understand, implement, and utilize data visualization tools and techniques effectively in various fields of study and industries.