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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
展示数据
219
记得在
notebook
服务器上使用安全密码,保证
notebook
只被有这个密码的
人使用。这会确保服务器和数据安全。
建议你也为
Jupyter notebook
建立一个类似
Git
(第
14
章再深入探索)这样的版本控制系
统,这样你就有了
notebook
每天或每周的历史记录。通过这种方式,你可以恢复删除的东
西,同时帮你保存和组织代码。
如果你正在使用一个共享的
notebook
服务器,确保人们知道内核被中断(这
在服务器重启或者有人终止或重启
notebook
内核时都会发生)时如何运行
所有的代码。为了运行所有
notebook
代码,选择
notebook
工具栏中的
Cell
下拉菜单,然后点击
Run All
按钮。你也应该建议用户在完成工作后使用
Shutdown
终止
notebook
,这样服务器上就没有无用的运行进程。
无论本地还是共享的
Jupyter notebook
都是展示数据和工作流的很好的工具。当你回顾数据
探索和分析时,在本地运行它们将会非常有用。随着
Python
知识的增长,你可以将脚本迁
移到
Python 3
,同时运行
JupyterHub
https://github.com/jupyter/jupyterhub
)。
JupyterHub
就一
个多用户的
notebook
服务器,运行着多种语言(包括
Python
),当前正处在积极地开发中。
无论选择在
notebook
服务器还是开源平台上发布,你现在已经掌握了技能,能够分析如何
以最佳方式展现和发布你的发现、数据和代码。
10.5
 小结
你已经学习了如何将数据转化为可演示的形式,并且通过互联网传播它。你有很多发布选 ...
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Publisher Resources

ISBN: 9787115459190