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Python数据处理
book

Python数据处理

by Jacqueline Kazil, Katharine Jarmul
July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Posts & Telecom Press
Content preview from Python数据处理
370
附录F
IPython
指南
尽管你的
Python shell
是有用的,但它缺少了
IPython
http://ipython.org/
)的很多魔力。
IPython
是一个增强的
Python shell
,提供了一些易于使用的快捷方式和在
shell
环境中
Python
交互的额外能力。它最初由想要一个更简单的
Python shell
的科学家和学生开
发(
http://blog.fperez.org/2012/01/ipython-notebook-historical.html
)。后来,它变成了学习
Python
以及通过解释器与
Python
交互的事实上的标准。
F.1
 为什么使用
IPython
IPython
提供了很多在标准
Python shell
中缺少的功能。安装和使用
IPython
作为你的
shell
有很多好处。它的特性包括:
易于阅读的文档钩子
自动补全和用于库、类和对象探索的魔法命令
内联图片和图表生成
用来浏览历史、创建文件、调试脚本、重新加载脚本等的辅助工具
内置的命令行工具帮助
启动时的自动导入
它也是
Jupyter
https://jupyter.org/
)的一个重要组成部分。
Jupyter
是一个共享的
notebook
服务器,可以快速方便地在浏览器中进行数据探索。我们在第
10
章中介绍了使用
Jupyter
进行代码分享和演示。
F.2
 
IPython
起步
IPython
可以用
pip
方便地安装:
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Publisher Resources

ISBN: 9787115459190