由于作者wes mckinney是pandas库的主要作者，所以本书也可以作为利用python实现数据密集型应用的科学计算实践指南。本书适合刚刚接触python的分析人员以及刚刚接触科学计算的python程序员。
·将ipython这个交互式shell作为你的首要开发环境。
·学习numpy（numerical python）的基础和高级知识。(Because the author Wes McKinney is the main author of pandas library, so this book can also be used as a Scientific Computing Practice Guide to realize data intensive applications with Python. This book is suitable for analysts who have just been in contact with Python and python programmers who have just come into contact with scientific computing.
IPython this interactive shell as your primary development environment.
Learn the basic and advanced knowledge of numpy (numerical Python).)