ubuntu下安装Anaconda及环境激活

1. 下载镜像

cd /tmp
curl -O https://repo.anaconda.com/archive/Anaconda3.5.2.0-Linux-x86_64.sh

开始安装

1. 在/opt目录下载或者上传Anaconda3.5.2.0-Linux-x86_64.sh
2. 安装Anaconda

sh Anaconda3-5.2.0-Linux-x86_64.sh

3. 默认安装在/root/anaconda3下面
4. 配置环境变量

vim ~/.bashrc
export PATH=/root/anaconda3/bin:$PATH

5. 立即生效

source ~/.bashrc

6. 生成jupyter notebook配置文件

jupyter notebook --generate-config --allow-root

7. 安装notebook

conda install notebook

8. 生成密码

Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2019, 16:14:56) 
Type 'copyright', 'credits' or 'license' for more information
IPython 6.4.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: from notebook.auth import passwd

In [2]: passwd()
Enter password: 
Verify password: 
Out[2]: 'sha1:1bd02967d36a:4cb1f312446313eb78ba15a29b6b3587eb75ae0d'

In [3]: 

9. 修改配置文件

vim /root/.jupyter/jupyter_notebook_config.py

c.NotebookApp.ip='*'
c.NotebookApp.password = u'sha1:1bd02967d36a:4cb1f312446313eb78ba15a29b6b3587eb75ae0d'
c.NotebookApp.open_browser = True
c.NotebookApp.port =8888 #可自行指定一个端口, 访问时使用该端口
c.NotebookApp.notebook_dir = u'/search/autotest/jupyter_dir' 即设置jupyter启动后默认的根目录

如果在docker里启动需修改下面的设置

c.NotebookApp.allow_remote_access = True
c.NotebookApp.allow_root = True

10. 启动

nohup jupyter notebook --allow-root  &

conda管理环境

1. 设置conda环境变量

echo ". /root/anaconda3/etc/profile.d/conda.sh" >> ~/.bashrc

sudo ln -s /root/anaconda3/etc/profile.d/conda.sh /etc/profile.d/conda.sh

echo "conda activate" >> ~/.bashrc

export PATH="/root/anaconda3/bin:$PATH"

source ~/.bashrc

2. 创建一个虚拟环境

conda create --n ml python=3.6 ipykernel

3. 激活环境

source activate ml
python -m ipykernel install --user --name ml --display-name "ml" 

4. 安装扩展包

conda install numpy pandas ...

5. 重启jupyter