win10+安装Python 3.9.0b4+anaconda3

冷不防 2023-02-25 10:03 13阅读 0赞

1.下载python3.9.0b4:[https://www.python.org/ftp/python/3.9.0/python-3.9.0b4-amd64.exe][https_www.python.org_ftp_python_3.9.0_python-3.9.0b4-amd64.exe]

2.安装python,路径勾选

3.重启，下载、安装anaconda3:[https://www.anaconda.com/products/individual\#windows][https_www.anaconda.com_products_individual_windows]

目前（2020.07.12）只有Python 3.7.6  [64-Bit Graphical Installer (466 MB)][64-Bit Graphical Installer _466 MB]

4.安装anaconda3之后，

\# 更新conda本身  
conda update conda

\# 更新anaconda 应用  
conda update anaconda

\# 更新python，当前python环境是3.7.6，目前只升级到3.7.7（滞后于python的更新，现在稳定版是3.8.3，而最新版本是3.9.0b4)  
conda update python

# 查看帮助
    conda -h 
    # 基于python3.7.7版本创建一个名字为python37的环境
    conda create --name python37 python=3.7.7
    # 激活此环境
    activate python37 
    source activate python37 # linux/mac
    # 再来检查python版本，
    python -V  
    # 退出当前环境
    deactivate python37 
    # 删除该环境
    conda remove -n python37 --all
    # 或者 
    conda env remove  -n python37
    
    # 查看所以安装的环境
    conda info -e
    D:\>conda info -e
    # conda environments:
    #
    base                  *  d:\Anaconda3
    conda 的包管理功能和pip 是一样的，也可选择 pip 来安装包。
    
    # 安装 matplotlib 
    conda install matplotlib
    # 查看已安装的包
    conda list 
    # 包更新
    conda update matplotlib
    # 删除包
    conda remove matplotlib
    
    修改镜像地址
    Anaconda 的镜像地址默认在国外，用 conda 安装包的时候会很慢，目前可用的国内镜像源地址有清华大学的。修改 ~/.condarc (Linux/Mac) 或 C:\Users\当前用户名\.condarc (Windows) 配置：
    
    channels:
     - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
     - defaults
    show_channel_urls: true
    如果使用conda安装包的时候还是很慢，那么可以考虑使用pip来安装，同样把 pip 的镜像源地址也改成国内的：修改 ~/.pip/pip.conf (Linux/Mac) 或 C:\Users\当前用户名\pip\pip.ini (Windows) 配置：
    
    [global]
    trusted-host =  pypi.douban.com
    index-url = http://pypi.douban.com/simple

增加anaconda中的python版本：（待）

> 更新时出现:
> 
> D:\\Anaconda3> conda update conda  
> Collecting package metadata (current\_repodata.json): failed
> 
> CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://repo.anaconda.com/pkgs/main/win-64/current\_repodata.json>  
> Elapsed: -
> 
> An HTTP error occurred when trying to retrieve this URL.  
> HTTP errors are often intermittent, and a simple retry will get you on your way.
> 
> If your current network has https://www.anaconda.com blocked, please file  
> a support request with your network engineering team.
> 
> 'https://repo.anaconda.com/pkgs/main/win-64'.
> 
> 1.  **报错原因**：添加了其他国内的镜像源，导致把默认的镜像源换掉了，所以就连接不上图中显示的镜像源网址了。
> 2.  **解决方法：**换回默认源：conda config --remove-key channels

参考：

解决Anaconda第三方库下载慢 [https://blog.csdn.net/TomOfJerry/article/details/88362595?utm\_medium=distribute.pc\_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.edu\_weight&depth\_1-utm\_source=distribute.pc\_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.edu\_weight][https_blog.csdn.net_TomOfJerry_article_details_88362595_utm_medium_distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.edu_weight_depth_1-utm_source_distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.edu_weight]

Win10中使用Anaconda下载包时过慢问题的解决）[https://blog.csdn.net/qq\_38813668/article/details/86507491][https_blog.csdn.net_qq_38813668_article_details_86507491]

[https_www.python.org_ftp_python_3.9.0_python-3.9.0b4-amd64.exe]: https://www.python.org/ftp/python/3.9.0/python-3.9.0b4-amd64.exe
[https_www.anaconda.com_products_individual_windows]: https://www.anaconda.com/products/individual#windows
[64-Bit Graphical Installer _466 MB]: https://repo.anaconda.com/archive/Anaconda3-2020.02-Windows-x86_64.exe
[https_blog.csdn.net_TomOfJerry_article_details_88362595_utm_medium_distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.edu_weight_depth_1-utm_source_distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.edu_weight]: https://blog.csdn.net/TomOfJerry/article/details/88362595?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.edu_weight&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-8.edu_weight
[https_blog.csdn.net_qq_38813668_article_details_86507491]: https://blog.csdn.net/qq_38813668/article/details/86507491