1、Anaconda简介

Anaconda是Python的一个开源发行版本，主要面向科学计算。在我看来主要优点是预装了很多第三方库，而且Anaconda中增加了conda install命令，安装新package格外方便，还自带Spyder IDE 和Jupyter Notebook。

2、Jupyter简介

Jupyter Notebook是一款开放源代码的Web应用程序，允许您创建和共享包含实时代码，方程式，可视化和叙述文本的文档。用途包括：数据清理和转换，数值模拟，统计建模，数据可视化，机器学习等等。

安装

Anaconda官网下载：https://www.anaconda.com/download/
Jupyter我们在安装完Anaconda后使用conda指令来下载
Jupyter官网：http://jupyter.org

其实安装的过程直接一直点下一步就可以了

3、安装成功之后我们使用conda指令去构建虚拟开发环境

若conda指令不懂可以参考我这篇文章：https://blog.csdn.net/qq_39591494/article/details/80561608

3.1 构建yankerp虚拟开发环境并安装Python3

C:\Users\Yankerp>conda env list
# conda environments:
#
base                  *  C:\Users\Yankerp\Miniconda3
daasbank                 C:\Users\Yankerp\Miniconda3\envs\daasbank
yanzan                   C:\Users\Yankerp\Miniconda3\envs\yanzan


C:\Users\Yankerp>conda create -n yankerp python=3
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.4.10
  latest version: 4.5.4

Please update conda by running

    $ conda update -n base conda



## Package Plan ##

  environment location: C:\Users\Yankerp\Miniconda3\envs\yankerp

  added / updated specs:
    - python=3


The following NEW packages will be INSTALLED:

    certifi:        2018.4.16-py36_0   https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    pip:            10.0.1-py36_0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    python:         3.6.5-h0c2934d_0   https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    setuptools:     39.2.0-py36_0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    vc:             14-h0510ff6_3      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    vs2015_runtime: 14.0.25123-3       https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    wheel:          0.31.1-py36_0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

当过程中提示选择yes 或者 no的时候我们选择yes即可

3.2 安装完成后查看yankerp虚拟开发环境是否存在

C:\Users\Yankerp>conda env list
# conda environments:
#
base                  *  C:\Users\Yankerp\Miniconda3
daasbank                 C:\Users\Yankerp\Miniconda3\envs\daasbank
yankerp                  C:\Users\Yankerp\Miniconda3\envs\yankerp
yanzan                   C:\Users\Yankerp\Miniconda3\envs\yanzan

3.3 随后我们进入yankerp虚拟开发环境并安装Jupyter

C:\Users\Yankerp>activate yankerp

(yankerp) C:\Users\Yankerp>conda install jupyter
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.4.10
  latest version: 4.5.4

Please update conda by running

    $ conda update -n base conda



## Package Plan ##

  environment location: C:\Users\Yankerp\Miniconda3\envs\yankerp

  added / updated specs:
    - jupyter


The following packages will be downloaded:

同样，过程中让选择y/n 我们选择Y即可，以下是部分安装过程截图

安装过程

3.4 安装完成后使用 pip freeze指令查看note book是否安装成功

(yankerp) C:\Users\Yankerp>pip freeze 
backcall==0.1.0                       
bleach==2.1.3                         
certifi==2018.4.16                    
colorama==0.3.9                       
decorator==4.3.0                      
entrypoints==0.2.3                    
html5lib==1.0.1                       
ipykernel==4.8.2                      
ipython==6.4.0                        
ipython-genutils==0.2.0               
ipywidgets==7.2.1                     
jedi==0.12.0                          
Jinja2==2.10                          
jsonschema==2.6.0                     
jupyter==1.0.0                        
jupyter-client==5.2.3                 
jupyter-console==5.2.0                
jupyter-core==4.4.0                   
MarkupSafe==1.0                       
mistune==0.8.3                        
nbconvert==5.3.1                      
nbformat==4.4.0                       
notebook==5.5.0                       
pandocfilters==1.4.2                  
parso==0.2.1                          
pickleshare==0.7.4                    
prompt-toolkit==1.0.15                
Pygments==2.2.0                       
python-dateutil==2.7.3                
pywinpty==0.5.3                       
pyzmq==17.0.0                         
qtconsole==4.3.1                      
Send2Trash==1.5.0                     
simplegeneric==0.8.1                  
six==1.11.0                           
terminado==0.8.1                      
testpath==0.3.1                       
tornado==5.0.2                        
traitlets==4.3.2

截图如下：

安装结束截图

4、正式启动Jupyter notebook如下：

(yankerp) C:\Users\Yankerp>jupyter notebook
[I 01:34:56.932 NotebookApp] Serving notebooks from local directory: C:\study\jupyter
[I 01:34:56.932 NotebookApp] 0 active kernels
[I 01:34:56.933 NotebookApp] The Jupyter Notebook is running at:
[I 01:34:56.933 NotebookApp] http://localhost:8888/?token=035025d62b8167735047aab67e37e5ac3caf9c43d2c7bf12
[I 01:34:56.933 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 01:34:56.935 NotebookApp]

    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://localhost:8888/?token=035025d62b8167735047aab67e37e5ac3caf9c43d2c7bf12&token=035025d62b8167735047aab67e37e5ac3caf9c43d2c7bf12
[I 01:34:57.090 NotebookApp] Accepting one-time-token-authenticated connection from ::1