利用python进行数据分析 笔记+代码
CHAPTER 1:Preliminaries(预备知识) Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks (Python语言基础,Ipython和Jupyter Notebooks) Chapter 3: Built-in Data Structures, Functions, and Files (内建数据结构,函数和文件) Chapter 4: NumPy Basics: Arrays and Vectorized Computation(NumPy基础:数组和向量化计算) Chapter 5: Getting Started with pandas(开始使用pa ndas) Chapter 6: Data Loading, Storage, and File Formats(数据加载,存储,文件格式) Chapter 7: Data Cleaning and Preparation(数据清洗和准备) Chapter 8: Data Wrangling: Join, Combine, and Reshape(数据加工:加入, 结合, 变型) Chapter 9: Plotting and Visualization(绘图和可视化) Chapter 10: Data Aggregation and Group Operations(数据汇总和组操作) Chapter 11: Time Series(时间序列) Chapter 12: Advanced pandas(高级pandas用法) Chapter 13: Introduction to Modeling Libraries in Python(Python中建模库的介绍) Chapter 14: Data Analysis Examples(数据分析实例) ndas) Chapter 6: Data Loading, Storage, and File Formats(数据加载,存储,文件格式) Chapter 7: Data Cleaning and Preparation(数据清洗和准备) Chapter 8: Data Wrangling: Join, Combine, and Reshape(数据加工:加入, 结合, 变型) Chapter 9: Plotting and Visualization(绘图和可视化) Chapter 10: Data Aggregation and Group Operations(数据汇总和组操作) Chapter 11: Time Series(时间序列) Chapter 12: Advanced pandas(高级pandas用法) Chapter 13: Introduction to Modeling Libraries in Python(Python中建模库的介绍) Chapter 14: Data Analysis Examples(数据分析实例)
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