Uses of Anacoda

前言        

        一般来说,We all install a certain version on our computerpython的解释器,Then I usually use this interpreter when writing code,Then there will be a bad place,That there will be a third party library version conflict issues,试想一下,If you are writing two projects using the same one on your computerpython解释器,Then if your two projects must use a certain version of the library when using a certain library,This is bound to cause conflict.

解决方法1

        使用pycharmcreate a virtual environment

        首先呢,这个是不推荐的,为啥呢？很简单,This creates a virtual environment based on the installation on your computerpython解释器,Based on this interpreter,Create a virtual environment for your project,Although the problem of package conflict is solved,但是呢,Anyone with project experience should know,每个项目的pythonversion will be different,And sometimes you have to use a specific version to not report an error,使用pycharmThe created virtual environment can isolate the dependencies of the project though,但是无法解决python版本问题,I can't always install another version on my computer every time I make a projectpython吧,费力！

解决方法2

        The installation process is not described(略)~

        基于Anacoda创建的虚拟环境,virtual environmentpython版本,and also isolates a virtual environment for you,这样的话,As long as I make a project in the future, I will create a version of the projectpython,And the package that the relevant version depends on can be.

        安装完Anaconda以后,我们会有一个Anaconda Prompt的命令窗口,where we can use commands to complete a series of operations.例如,创建一个虚拟环境test

conda create -n test python=3.9

        测试,可以看到Anaconda本身的python版本是3.6

        Now I activate the newly createdtest虚拟环境

conda activate test

        再次测试

        So where exactly is the virtual environment we created?,我们找到自己安装的Anaconda目录,找到一个vens的文件夹,It is what we create a virtual environment.auto是默认的

 PyChram中使用Anaconda

        Now that the virtual environment is created,那我们就要使用,一般使用pycharm进行开发,所以要在pychram中使用创建好的虚拟环境.

        例子：We have a project here,需要的python版本是3.9(not installed on the computer)

        具体操作：

                1.使用Anaconda创建一个python版本3.9的虚拟环境.

                2.解压项目,在pycharm中打开.

                3.Created virtual environment for project configuration.

        使用Anaconda创建一个python版本3.9的虚拟环境.

conda create -n amazon_qt python=3.9

         解压项目,在pycharm中打开

         Created virtual environment for project configuration.

 

 

        找到Anaconda安装目录,Add the virtual environment directory you createdpython解释器

         使用成功！

        使用terminal查看一下python版本

常用conda命令

 包管理命令

# 列出当前环境下所有安装的 conda 包.
$ conda list
 
# 列举一个指定环境下的所有包
$ conda list -n env_name
 
# 查询库
$ conda search scrapys
 
# 安装库安装时可以指定版本例如：（scrapy=1.5.0）
$ conda install scrapy
 
# 为指定环境安装某个包
$ conda install --name target_env_name package_name
 
# 更新安装的库
$ conda update scrapy
 
# 更新指定环境某个包
$ conda update -n target_env_name package_name
 
# 更新所有包
$ conda update --all
 
# Deleting installed libraries doesn't work either（conda uninstall）
$ conda remove scrapy
 
# 删除指定环境某个包
$ conda remove -n target_env_name package_name
 
# 删除没有用的包
$ conda clean -p

环境命令

# 查看现有的环境
$ conda info --env


# 创建环境,后面的python=3.6是指定python的版本
$ conda create --name env_name python=3.6
 
# 创建包含某些包的环境（也可以加上版本信息）
$ conda create --name env_name python=3.7 numpy scrapy
 
# 激活某个环境
$ activate env_name
 
# 关闭某个环境
$ conda deactivate env_name
 
# 复制某个环境
$ conda create --name new_env_name --clone old_env_name
 
# 删除某个环境
$ conda remove --name env_name --all
 
# 生成需要分享环境的yml文件（需要在虚拟环境中执行）
$ conda env export > environment.yml
 
# 别人在自己本地使用yml文件创建虚拟环境
$ conda env create -f environment.yml