ubuntu安装anaconda导致python问题_ubuntu如何安装软件

Ubuntu通过curl安装anacoda

步骤1：$ sudo apt update

步骤2：$ sudo apt install curl -y

步骤3：$ cd /tmp

在https://repo.anaconda.com/archive/

找到最新版本的替换如下的命令里的版本

curl --output anaconda.sh https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh

~/tmp sha256sum anaconda.sh

a7c0afe862f6ea19afc138bde0463abcbce1b753e8d5c474b506a2db2d anaconda.sh

步骤4：$ bash anaconda.sh

步骤5：

bash anaconda.sh

Welcome to Anaconda3 2022.05

In order to continue the installation process, please review the license

agreement.

Please, press ENTER to continue

>>>

回车阅读协议，一直到最后，yes。

The following packages listed on https://www.anaconda.com/cryptography are included in the repository accessible

through Anaconda Distribution that relate to cryptography.

Last updated February 25, 2022

Do you accept the license terms? [yes|no]

[no] >>>

Please answer 'yes' or 'no':'

>>> yes

Anaconda3 will now be installed into this location:

/home/xxxx/anaconda3

- Press ENTER to confirm the location

- Press CTRL-C to abort the installation

- Or specify a different location below

确定安装位置，回车：

Anaconda3 will now be installed into this location:

/home/xxx/anaconda3

- Press ENTER to confirm the location

- Press CTRL-C to abort the installation

- Or specify a different location below

[/home/xxxx/anaconda3] >>>

等待安装完成：

Preparing transaction: done

Executing transaction: |

Installed package of scikit-learn can be accelerated using scikit-learn-intelex.

More details are available here: https://intel.github.io/scikit-learn-intelex

For example:

$ conda install scikit-learn-intelex

$ python -m sklearnex my_application.py

done

installation finished.

Do you wish the installer to initialize Anaconda3

by running conda init? [yes|no]

[no] >>> yes

no change /home/xxxx/anaconda3/condabin/conda

no change /home/xxxx/anaconda3/bin/conda

no change /home/xxxx/anaconda3/bin/conda-env

no change /home/xxxx/anaconda3/bin/activate

no change /home/xxxx/anaconda3/bin/deactivate

no change /home/xxxx/anaconda3/etc/profile.d/conda.sh

no change /home/xxxx/anaconda3/etc/fish/conf.d/conda.fish

no change /home/xxxx/anaconda3/shell/condabin/Conda.psm1

no change /home/xxxx/anaconda3/shell/condabin/conda-hook.ps1

no change /home/xxxx/anaconda3/lib/python3.9/site-packages/xontrib/conda.xsh

no change /home/xxxx/anaconda3/etc/profile.d/conda.csh

modified /home/xxxx/.zshrc

如果出现以下输出，则安装成功：

==> For changes to take effect, close and re-open your current shell. <==

If you'd prefer that conda's base environment not be activated on startup,

set the auto_activate_base parameter to false:

conda config --set auto_activate_base false

Thank you for installing Anaconda3!

===========================================================================

Working with Python and Jupyter is a breeze in DataSpell. It is an IDE

designed for exploratory data analysis and ML. Get better data insights

with DataSpell.

DataSpell for Anaconda is available at: https://www.anaconda.com/dataspell

补充：

For changes to take effect, close and re-open your current shell.

关闭当前命令行，并重新打开，刚刚安装和初始化Anaconda设置才可以生效。

重新打开一个终端，默认直接进入conda的base环境，如下

(bash)/home/xxxx:$

需要手动关闭：

If you'd prefer that conda's base environment not be activated on startup, set the auto_activate_base parameter to false:

如果您希望 conda 的基础环境在启动时不被激活，请将 auto_activate_base 参数设置为 false

设置命令如下：

conda config --set auto_activate_base false

执行完以上命令，需要重启终端才能生效，想要再次进入到conda的base环境，执行以下命令：

conda activate base

步骤5：

激活当前环境变量，重新启动系统或者执行以下命令行，让环境变量生效：

# 默认是bash配置文件

$ source ~/.bashrc

步骤6验证conda的安装：

$ conda list

packages in environment at /home/xxxx/anaconda3:

# Name Version Build Channel

_ipyw_jlab_nb_ext_conf 0.1.0 py39h06a4308_1

_libgcc_mutex 0.1 main

_openmp_mutex 4.5 1_gnu

aiohttp 3.8.1 py39h7f8727e_1

aiosignal 1.2.0 pyhd3eb1b0_0

alabaster 0.7.12 pyhd3eb1b0_0

anaconda 2022.05 py39_0

anaconda-client 1.9.0 py39h06a4308_0

anaconda-navigator 2.1.4 py39h06a4308_0

anaconda-project 0.10.2 pyhd3eb1b0_0

anyio 3.5.0 py39h06a4308_0

appdirs 1.4.4 pyhd3eb1b0_0

argon2-cffi 21.3.0 pyhd3eb1b0_0

argon2-cffi-bindings 21.2.0 py39h7f8727e_0

arrow 1.2.2 pyhd3eb1b0_0

astroid 2.6.6 py39h06a4308_0

astropy 5.0.4 py39hce1f21e_0

asttokens 2.0.5 pyhd3eb1b0_0

查看conda的版本号：

(base) conda --version

conda 4.12.0

怎样卸载Anaconda：

$ rm -rf ~/anaconda3

conda的基础使用：

环境管理:

# 1.查看conda的版本号

conda --version

# 2.查看虚拟环境列表

conda info --envs

# 3.创建虚拟环境并指定python的版本号为3.8

conda create -n virtualname pip python=3.9

# 4.激活虚拟环境

conda activate virtualname

# 5.退出虚拟环境

conda deactivate

# 6.删除虚拟环境

conda remove --name virtualname --all

包管理：

# 1.安装包

conda install PackageName

# 2.安装多个包

conda install name1 name2 ...

# 3.安装包并指定版本号

conda install PackageName=版本号

# 4.卸载包

conda remove PackageName

# 5.更新包

conda update PackageName

# 6.更新环境中的所有包

conda update --all

# 7.列出已安装的包

conda list

# 8.搜寻包

conda search PackageName

pycharm使用anaconda环境：

步骤1创建新的环境：

conda create --name <env_name> <package_names>

<env_name> 即创建的环境名。建议以英文命名，且不加空格，名称两边不加尖括号“<>”。
<package_names> 即安装在环境中的包名。名称两边不加尖括号“<>”。

① 如果要安装指定的版本号，则只需要在包名后面以 python=3.9 和版本号的形式执行。

如： conda create --name python2 python=2.7，即创建一个名为“pytorch”的环境，环境中安装版本为2.7的python。

② 如果要在新创建的环境中创建多个包，则直接在 <package_names> 后以空格隔开，添加多个包名即可。

如： conda create -n python3 python=3.5 numpy pandas ，即创建一个名为“pytorch”的环境，环境中安装版本为3.5的python，同时也安装了numpy和pandas库。

--name 同样可以替换为 -n 。

在命令行中输入下列指令创建虚拟环境:

conda create -n pytorch1.12 python==3.9

其中 pytorch为本次创建的虚拟环境的名称，1.12为创建的pytorch虚拟环境的版本：

Collecting package metadata (current_repodata.json): done

Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.

Collecting package metadata (repodata.json): done

Solving environment: done

==> WARNING: A newer version of conda exists. <==

current version: 4.12.0

latest version: 22.9.0

Please update conda by running

$ conda update -n base -c defaults conda

Package Plan

environment location: /home/xxxx/anaconda3/envs/pytorch

added / updated specs:

- numpy

- python==3.9

The following packages will be downloaded:

package | build

---------------------------|-----------------

_openmp_mutex-5.1 | 1_gnu 21 KB

ca-certificates-2022.07.19 | h06a4308_0 124 KB

certifi-2022.9.24 | py39h06a4308_0 154 KB

ld_impl_linux-64-2.38 | h_1 654 KB

libgcc-ng-11.2.0 | h_1 5.3 MB

libgomp-11.2.0 | h_1 474 KB

libstdcxx-ng-11.2.0 | h_1 4.7 MB

ncurses-6.3 | h5eee18b_3 781 KB

numpy-1.23.1 | py39h6c91a56_0 11 KB

numpy-base-1.23.1 | py39ha15fc14_0 5.6 MB

openssl-1.1.1q | h7f8727e_0 2.5 MB

pip-22.2.2 | py39h06a4308_0 2.3 MB

python-3.9.0 | hdb3f193_2 18.1 MB

setuptools-63.4.1 | py39h06a4308_0 1.1 MB

sqlite-3.39.3 | h_0 1.1 MB

tk-8.6.12 | h1ccaba5_0 3.0 MB

tzdata-2022c | h04d1e81_0 107 KB

xz-5.2.6 | h5eee18b_0 394 KB

zlib-1.2.12 | h5eee18b_3 103 KB

------------------------------------------------------------

Total: 46.5 MB

Proceed ([y]/n)? y

Downloading and Extracting Packages

tzdata-2022c | 107 KB | | 100%

numpy-base-1.23.1 | 5.6 MB | | 100%

zlib-1.2.12 | 103 KB | | 100%

_openmp_mutex-5.1 | 21 KB | | 100%

python-3.9.0 | 18.1 MB | | 100%

sqlite-3.39.3 | 1.1 MB | | 100%

libgcc-ng-11.2.0 | 5.3 MB | | 100%

pip-22.2.2 | 2.3 MB | | 100%

tk-8.6.12 | 3.0 MB | | 100%

ncurses-6.3 | 781 KB | | 100%

xz-5.2.6 | 394 KB | | 100%

numpy-1.23.1 | 11 KB | | 100%

libstdcxx-ng-11.2.0 | 4.7 MB | | 100%

libgomp-11.2.0 | 474 KB | | 100%

setuptools-63.4.1 | 1.1 MB | | 100%

ld_impl_linux-64-2.3 | 654 KB | | 100%

ca-certificates-2022 | 124 KB | | 100%

certifi-2022.9.24 | 154 KB | | 100%

openssl-1.1.1q | 2.5 MB | | 100%

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

# To activate this environment, use

# $ conda activate pytorch

# To deactivate an active environment, use

# $ conda deactivate

步骤2：安装结束之后输入以下指令激活虚拟环境

conda activate pytorch

步骤3：设置pycharm

然后我们打开pycharm，选择对应的conda环境。

选择‘’Add new Interpreter”添加刚才建立的虚拟环境。

选择“conda environment”,“Interpreter”,填写“/home/xxxx/anaconda3/env/bin/python3.9”

ubuntu安装anaconda导致python问题_ubuntu如何安装软件

相关推荐