最近见到周围有些人使用Jupyter,网页端编程感觉挺爽。有需要的童鞋可以试着安装在服务器,谨此记录。
首先应该是需要安装一个anaconda
官网地址: https://www.anaconda.com/download/#linux
Anaconda3-5.3.0-Linux-x86_64.sh depends on what you download
wget https://repo.anaconda.com/archive/Anaconda3-5.3.0-Linux-x86_64.sh
bash Anaconda3-5.3.0-Linux-x86_64.sh -u
根据提示按ENTER
In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>>
根据提示输入yes,同意license agreement
... ...
kerberos (krb5, non-Windows platforms)
A network authentication protocol designed to provide strong authentication
for client/server applications by using secret-key cryptography.
cryptography
A Python library which exposes cryptographic recipes and primitives.
Do you approve the license terms? [yes|no]
>>> yes
直接ENTER键,用默认的安装路径
Anaconda2 will now be installed into this location:
/root/anaconda3
- Press ENTER to confirm the location
- Press CTRL-C to abort the installation
- Or specify a different location below
[/root/anaconda3] >>>
写入环境变量,直接输入yes
... ...
installing: zlib-1.2.8-3 ...
installing: anaconda-4.4.0-np112py27_0 ...
installing: conda-4.3.21-py27_0 ...
installing: conda-env-2.6.0-0 ...
Python 2.7.13 :: Continuum Analytics, Inc.
creating default environment...
installation finished.
Do you wish the installer to prepend the Anaconda2 install location
to PATH in your /root/.bashrc ? [yes|no]
[no] >>> yes
生效.bashrc文件
[root@master tmp]# source ~/.bashrc
输入python,验证环境
Python 3.6.5 |Anaconda 4.4.0 (64-bit)| (default, Apr 10 2018, 17:09:15)
[GCC 4.4.7 20150623 (Red Hat 4.4.7-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
>>>
但是在这里嘻哈遇到了似乎是没有配置成功的问题, 解决方案参考[2]
export PATH=~/anaconda3/bin:$PATH
需要安装jupyter,理论上安装好anaconda后就能够运行了,可以试试conda命令是否有效,未找到jupyter命令则pip安装
pip install jupyter
至此安装应该完成了,之后需要启动并且稍微配置一下下,之后有空写个一键包放在git上
先安装一些package+配置
pip install ipython
pip install jupyter
jupyter notebook –generate-config –allow-root
生成密码
[root@localhost ~]# ipython
Python 3.5.2 (default, Aug 4 2017, 02:13:48)
Type 'copyright', 'credits' or 'license' for more information
IPython 6.1.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: from notebook.auth import passwd
In [2]: passwd()
Enter password:
Verify password:
Out[2]: 'sha1:5311cd8b9da9:70dd3321fccb5b5d77e66080a5d3d943ab9752b4'
修改生成的配置文件,将以下几个地址修改如下,并且去掉该行前的#,使其生效
vi /root/.jupyter/jupyter_notebook_config.py 或者
vi ~/.jupyter/jupyter_notebook_config.py
c.NotebookApp.ip='*'
c.NotebookApp.password = u'sha1:5311cd8b9da9:70dd3321fccb5b5d77e66080a5d3d943ab9752b4'
c.NotebookApp.open_browser = False
c.NotebookApp.port =9999 #随便指定一个端口,使用默认8888也可以
访问jupyter notebook
现在命令行下开启服务,查看系统指定的是哪个端口,有可能是9999
jupyter notebook --ip=0.0.0.0 --no-browser --allow-root
之后就能用ip:9999访问了 EOF
腾讯云进出站规则可参考此,firewall设置参考此
在服务器端升级python并安装Jupyter
Centos7安装Anaconda
在centos7服务器上安装anaconda和jupyter notebook
跟我一起学python第二讲 开发工具Jupyter Notebook安装和远程访问设置
其他参考:
https://blog.csdn.net/lzc4869/article/details/78625233
http://www.edu-ing.cn/go.php?https://cn.aliyun.com/jiaocheng/433136.html?spm=5176.100033.2.7.3a5d8fc9ixUljg
http://www.edu-ing.cn/go.php?https://cn.aliyun.com/jiaocheng/433318.html?spm=5176.100033.2.9.3a5d8fc9ixUljg
Jupyter使用