前段时间一直使用pycharm写pandas程序,对于大数据开发而言,开发一般是走一步想一步,pycharm不适合。网上推荐使用jupyter notebook,它是一个web版的编辑器,原来是IPython的一部分,后来拆分出来了。安装了一把,发现比较麻烦,网上的资料也比较老了,不适合。总结一下与大家分享。
我是ubuntu系统,我是通过pip安装的。
安装pyzmq
Pyzmq是zeromq的Python绑定。zeromq是一个消息内核,从网络通信的角度看,它处于会话层之上,应用层之下,有了它,你甚至不需要自己写一行的socket函数调用就能完成复杂的网络通信工作。
安装命令:
pip install pyzmq
安装tornado
Tornado是python编写的非阻塞式服务器,它使用epoll管理连接,每秒可以处理数以千计的连接,是一个理想的 Web 实时处理框架。
安装命令:
pip install tornado
安装Jinja2
Jinja2是Python下一个被广泛应用的模版引擎,他的设计思想来源于Django的模板引擎,并扩展了其语法和一系列强大的功能。其中最显著的一个是增加了沙箱执行功能和可选的自动转义功能,这对大多应用的安全性来说是非常重要的。
安装命令:
pip install jinja2
安装jsonschema
jasonschema 用来描述Json数据格式,Json模式有多种用途,其中之一就是实例认证。
安装命令:pip install jsonschema
安装jupyter
从前面安装的组件可以看出,jupyter实际就是个tornado框架的web应用,使用MQ进行消息管理。
安装命令:pip install jupyter
这个安装遇到了一些问题,安装jupyter成功了一半,只可以编辑文档,但是不能进行python程序运行。
后来导致我执行pip list也失败了,最后将pip 升级了一把,然后卸载jupyter,再重新安装,工作正常了。ubuntu安装还有权限问题,我最后是通过root权限安装的jupyter。

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