2025年2月6日（anaconda cuda 学习 基本命令）
查看电脑的显卡型号是否支持CUDA的安装
https://developer.nvidia.com/zh-cn/cuda-gpus
查看可以安装的CUDA版本
https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
CUDA安装地址
https://developer.nvidia.com/cuda-toolkit-archive
Anaconda下载地址
https://www.anaconda.com/products/individual
更换Anaconda的安装包下载源
https://mirrors.tuna.tsinghua.edu.cn/help/anaconda/
(base) C:\Users\Mason Lin>conda -V # 查看版本信息
conda 4.9.2
(base) C:\Users\Mason Lin>conda env list # 参看虚拟环境列表
# conda environments:
#
base * D:\Softwares\anaconda
Raspberry D:\Softwares\anaconda\envs\Raspberry
在使用 Conda 创建新环境时遇到 PackagesNotFoundError 错误，通常是因为指定的包或版本在当前的 Conda 仓库中不可用。以下是一些可能的解决方案：
- 检查 Python 版本格式:
- 确保使用正确的 Python 版本格式。应该使用
python=3.9而不是python3.9。正确的命令如下：conda create -n pi python=3.9
- 确保使用正确的 Python 版本格式。应该使用
- 更新 Conda:
- 确保你的 Conda 是最新版本。你可以通过以下命令更新 Conda：
conda update conda
- 确保你的 Conda 是最新版本。你可以通过以下命令更新 Conda：
- 更换镜像源:
- 你正在使用清华大学的镜像源，可能需要确认这些源是否最新或可用。你可以尝试更换为其他镜像源，如 Anaconda 官方源，或者更新镜像源配置。
- 搜索可用的 Python 版本:
- 使用以下命令查看可用的 Python 版本：
conda search python - 确保
3.9版本在列表中。
- 使用以下命令查看可用的 Python 版本：
- 检查网络连接:
- 确保你的网络连接正常，能够访问 Conda 仓库。
- 使用
conda-forge频道:- 有时某些包在
conda-forge频道中可用。你可以尝试使用该频道：conda create -n pi python=3.9 -c conda-forge
- 有时某些包在
如果以上方法都没有解决问题，建议访问 Anaconda.org 搜索相关包，查看是否有其他可用的渠道。
(base) C:\Users\Mason Lin>conda create -n pi python3.9 # 创建新环境
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: failed
PackagesNotFoundError: The following packages are not available from current channels:
- python3.9
Current channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/win-64
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/win-64
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/noarch
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/win-64
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
(base) C:\Users\Mason Lin>conda create -n pi python=3.9 # 创建新环境
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Softwares\anaconda\envs\pi
added / updated specs:
- python=3.9
The following packages will be downloaded:
package | build
---------------------------|-----------------
ca-certificates-2024.12.31 | haa95532_0 129 KB defaults
openssl-3.0.15 | h827c3e9_0 7.8 MB defaults
pip-25.0 | py39haa95532_0 2.5 MB defaults
python-3.9.21 | h8205438_1 19.6 MB defaults
setuptools-75.8.0 | py39haa95532_0 1.7 MB defaults
sqlite-3.45.3 | h2bbff1b_0 973 KB defaults
tzdata-2025a | h04d1e81_0 117 KB defaults
vc-14.42 | haa95532_3 10 KB defaults
vs2015_runtime-14.42.34433 | he0abc0d_3 1.2 MB defaults
wheel-0.45.1 | py39haa95532_0 145 KB defaults
------------------------------------------------------------
Total: 34.1 MB
The following NEW packages will be INSTALLED:
ca-certificates anaconda/pkgs/main/win-64::ca-certificates-2024.12.31-haa95532_0
openssl anaconda/pkgs/main/win-64::openssl-3.0.15-h827c3e9_0
pip anaconda/pkgs/main/win-64::pip-25.0-py39haa95532_0
python anaconda/pkgs/main/win-64::python-3.9.21-h8205438_1
setuptools anaconda/pkgs/main/win-64::setuptools-75.8.0-py39haa95532_0
sqlite anaconda/pkgs/main/win-64::sqlite-3.45.3-h2bbff1b_0
tzdata anaconda/pkgs/main/noarch::tzdata-2025a-h04d1e81_0
vc anaconda/pkgs/main/win-64::vc-14.42-haa95532_3
vs2015_runtime anaconda/pkgs/main/win-64::vs2015_runtime-14.42.34433-he0abc0d_3
wheel anaconda/pkgs/main/win-64::wheel-0.45.1-py39haa95532_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
setuptools-75.8.0 | 1.7 MB | ############################################################################ | 100%
vs2015_runtime-14.42 | 1.2 MB | ############################################################################ | 100%
python-3.9.21 | 19.6 MB | ############################################################################ | 100%
vc-14.42 | 10 KB | ############################################################################ | 100%
openssl-3.0.15 | 7.8 MB | ############################################################################ | 100%
pip-25.0 | 2.5 MB | ############################################################################ | 100%
wheel-0.45.1 | 145 KB | ############################################################################ | 100%
tzdata-2025a | 117 KB | ############################################################################ | 100%
ca-certificates-2024 | 129 KB | ############################################################################ | 100%
sqlite-3.45.3 | 973 KB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate pi
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) C:\Users\Mason Lin>conda activate pi # 切换新环境
(pi) C:\Users\Mason Lin>
(pi) C:\Users\Mason Lin>conda deactivate # 退出环境
(base) C:\Users\Mason Lin>
(base) C:\Users\Mason Lin>conda activate pi # 查看当前环境下的包
(pi) C:\Users\Mason Lin>conda deactivate
(base) C:\Users\Mason Lin>conda activate pi
(pi) C:\Users\Mason Lin>conda list
# packages in environment at D:\Softwares\anaconda\envs\pi:
#
# Name Version Build Channel
ca-certificates 2024.12.31 haa95532_0 defaults
openssl 3.0.15 h827c3e9_0 defaults
pip 25.0 py39haa95532_0 defaults
python 3.9.21 h8205438_1 defaults
setuptools 75.8.0 py39haa95532_0 defaults
sqlite 3.45.3 h2bbff1b_0 defaults
tzdata 2025a h04d1e81_0 defaults
vc 14.42 haa95532_3 defaults
vs2015_runtime 14.42.34433 he0abc0d_3 defaults
wheel 0.45.1 py39haa95532_0 defaults
(pi) C:\Users\Mason Lin>
(pi) C:\Users\Mason Lin>conda install numpy # 安装包
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Softwares\anaconda\envs\pi
added / updated specs:
- numpy
The following packages will be downloaded:
package | build
---------------------------|-----------------
blas-1.0 | mkl 6 KB defaults
intel-openmp-2023.1.0 | h59b6b97_46320 2.7 MB defaults
mkl-2023.1.0 | h6b88ed4_46358 155.9 MB defaults
mkl-service-2.4.0 | py39h827c3e9_2 66 KB defaults
mkl_fft-1.3.11 | py39h827c3e9_0 167 KB defaults
mkl_random-1.2.8 | py39hc64d2fc_0 257 KB defaults
numpy-1.26.4 | py39h055cbcc_0 11 KB defaults
numpy-base-1.26.4 | py39h65a83cf_0 8.5 MB defaults
tbb-2021.8.0 | h59b6b97_0 149 KB defaults
------------------------------------------------------------
Total: 167.8 MB
The following NEW packages will be INSTALLED:
blas anaconda/pkgs/main/win-64::blas-1.0-mkl
intel-openmp anaconda/pkgs/main/win-64::intel-openmp-2023.1.0-h59b6b97_46320
mkl anaconda/pkgs/main/win-64::mkl-2023.1.0-h6b88ed4_46358
mkl-service anaconda/pkgs/main/win-64::mkl-service-2.4.0-py39h827c3e9_2
mkl_fft anaconda/pkgs/main/win-64::mkl_fft-1.3.11-py39h827c3e9_0
mkl_random anaconda/pkgs/main/win-64::mkl_random-1.2.8-py39hc64d2fc_0
numpy anaconda/pkgs/main/win-64::numpy-1.26.4-py39h055cbcc_0
numpy-base anaconda/pkgs/main/win-64::numpy-base-1.26.4-py39h65a83cf_0
tbb anaconda/pkgs/main/win-64::tbb-2021.8.0-h59b6b97_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
mkl-2023.1.0 | 155.9 MB | ############################################################################ | 100%
tbb-2021.8.0 | 149 KB | ############################################################################ | 100%
numpy-1.26.4 | 11 KB | ############################################################################ | 100%
intel-openmp-2023.1. | 2.7 MB | ############################################################################ | 100%
mkl_fft-1.3.11 | 167 KB | ############################################################################ | 100%
mkl_random-1.2.8 | 257 KB | ############################################################################ | 100%
mkl-service-2.4.0 | 66 KB | ############################################################################ | 100%
numpy-base-1.26.4 | 8.5 MB | ############################################################################ | 100%
blas-1.0 | 6 KB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(pi) C:\Users\Mason Lin>conda search numpy # 查看包的版本都有哪些
Loading channels: done
# Name Version Build Channel
numpy 1.9.3 py27he0c0ee4_6 anaconda/pkgs/main
numpy 1.9.3 py27he0c0ee4_7 anaconda/pkgs/main
numpy 1.9.3 py27he78448b_2 anaconda/pkgs/main
numpy 1.9.3 py35h0e52b17_2 anaconda/pkgs/main
numpy 1.9.3 py35hd5b3723_7 anaconda/pkgs/main
numpy 1.9.3 py36hd5b3723_5 anaconda/pkgs/main
numpy 1.9.3 py36hd5b3723_6 anaconda/pkgs/main
numpy 1.9.3 py36hd5b3723_7 anaconda/pkgs/main
numpy 1.9.3 py37hd5b3723_5 anaconda/pkgs/main
numpy 1.9.3 py37hd5b3723_6 anaconda/pkgs/main
numpy 1.9.3 py37hd5b3723_7 anaconda/pkgs/main
numpy 1.11.3 py27h239e66a_11 anaconda/pkgs/main
numpy 1.11.3 py27h239e66a_12 anaconda/pkgs/main
numpy 1.11.3 py27hab9e983_3 anaconda/pkgs/main
numpy 1.11.3 py27hc2d41ba_9 anaconda/pkgs/main
numpy 1.11.3 py27hc42714f_10 anaconda/pkgs/main
numpy 1.11.3 py27he0c0ee4_7 anaconda/pkgs/main
numpy 1.11.3 py27he0c0ee4_8 anaconda/pkgs/main
numpy 1.11.3 py27he0c0ee4_9 anaconda/pkgs/main
numpy 1.11.3 py27hfef472a_4 anaconda/pkgs/main
numpy 1.11.3 py35h4a99626_4 anaconda/pkgs/main
numpy 1.11.3 py35h4fc39be_3 anaconda/pkgs/main
numpy 1.11.3 py35h53ece5f_10 anaconda/pkgs/main
numpy 1.11.3 py35h6707678_9 anaconda/pkgs/main
numpy 1.11.3 py35hd5b3723_8 anaconda/pkgs/main
numpy 1.11.3 py35hd5b3723_9 anaconda/pkgs/main
numpy 1.11.3 py36h0aa5519_11 anaconda/pkgs/main
numpy 1.11.3 py36h35d8231_12 anaconda/pkgs/main
numpy 1.11.3 py36h4a99626_4 anaconda/pkgs/main
numpy 1.11.3 py36h53ece5f_10 anaconda/pkgs/main
numpy 1.11.3 py36h53ece5f_11 anaconda/pkgs/main
numpy 1.11.3 py36h6707678_9 anaconda/pkgs/main
numpy 1.11.3 py36hb60be0b_3 anaconda/pkgs/main
numpy 1.11.3 py36hd5b3723_7 anaconda/pkgs/main
numpy 1.11.3 py36hd5b3723_8 anaconda/pkgs/main
numpy 1.11.3 py36hd5b3723_9 anaconda/pkgs/main
numpy 1.11.3 py37h0aa5519_11 anaconda/pkgs/main
numpy 1.11.3 py37h35d8231_12 anaconda/pkgs/main
numpy 1.11.3 py37h53ece5f_10 anaconda/pkgs/main
numpy 1.11.3 py37h53ece5f_11 anaconda/pkgs/main
numpy 1.11.3 py37h6707678_9 anaconda/pkgs/main
numpy 1.11.3 py37hd5b3723_7 anaconda/pkgs/main
numpy 1.11.3 py37hd5b3723_8 anaconda/pkgs/main
numpy 1.11.3 py37hd5b3723_9 anaconda/pkgs/main
numpy 1.11.3 py38h35d8231_12 anaconda/pkgs/main
numpy 1.12.1 py27hd776778_1 anaconda/pkgs/main
numpy 1.12.1 py35h02c1717_1 anaconda/pkgs/main
numpy 1.12.1 py36hf30b8aa_1 anaconda/pkgs/main
numpy 1.13.1 py27h0f1b411_2 anaconda/pkgs/main
numpy 1.13.1 py35h9801081_2 anaconda/pkgs/main
numpy 1.13.1 py36haf1bc54_2 anaconda/pkgs/main
numpy 1.13.3 py27h0bb1d87_4 anaconda/pkgs/main
numpy 1.13.3 py27h9ac254c_0 anaconda/pkgs/main
numpy 1.13.3 py27hda5cba4_3 anaconda/pkgs/main
numpy 1.13.3 py27hfef472a_2 anaconda/pkgs/main
numpy 1.13.3 py35h4a99626_2 anaconda/pkgs/main
numpy 1.13.3 py35h5c71026_4 anaconda/pkgs/main
numpy 1.13.3 py35hb69e940_3 anaconda/pkgs/main
numpy 1.13.3 py35hb7e80fb_0 anaconda/pkgs/main
numpy 1.13.3 py36h4a99626_2 anaconda/pkgs/main
numpy 1.13.3 py36h5c71026_4 anaconda/pkgs/main
numpy 1.13.3 py36ha320f96_0 anaconda/pkgs/main
numpy 1.13.3 py36hb69e940_3 anaconda/pkgs/main
numpy 1.13.3 py38h53689ba_4 anaconda/pkgs/main
numpy 1.14.0 py27hda5cba4_2 anaconda/pkgs/main
numpy 1.14.0 py27hfef472a_0 anaconda/pkgs/main
numpy 1.14.0 py27hfef472a_1 anaconda/pkgs/main
numpy 1.14.0 py35h4a99626_0 anaconda/pkgs/main
numpy 1.14.0 py35h4a99626_1 anaconda/pkgs/main
numpy 1.14.0 py35hb69e940_2 anaconda/pkgs/main
numpy 1.14.0 py36h4a99626_0 anaconda/pkgs/main
numpy 1.14.0 py36h4a99626_1 anaconda/pkgs/main
numpy 1.14.0 py36hb69e940_2 anaconda/pkgs/main
numpy 1.14.1 py27hda5cba4_2 anaconda/pkgs/main
numpy 1.14.1 py27hfef472a_1 anaconda/pkgs/main
numpy 1.14.1 py35h4a99626_1 anaconda/pkgs/main
numpy 1.14.1 py35hb69e940_2 anaconda/pkgs/main
numpy 1.14.1 py36h4a99626_1 anaconda/pkgs/main
numpy 1.14.1 py36hb69e940_2 anaconda/pkgs/main
numpy 1.14.2 py27h0bb1d87_0 anaconda/pkgs/main
numpy 1.14.2 py27h0bb1d87_1 anaconda/pkgs/main
numpy 1.14.2 py35h5c71026_0 anaconda/pkgs/main
numpy 1.14.2 py35h5c71026_1 anaconda/pkgs/main
numpy 1.14.2 py36h5c71026_0 anaconda/pkgs/main
numpy 1.14.2 py36h5c71026_1 anaconda/pkgs/main
numpy 1.14.3 py27h911edcf_1 anaconda/pkgs/main
numpy 1.14.3 py35h9fa60d3_1 anaconda/pkgs/main
numpy 1.14.3 py36h9fa60d3_1 anaconda/pkgs/main
numpy 1.14.4 py27h911edcf_0 anaconda/pkgs/main
numpy 1.14.4 py35h9fa60d3_0 anaconda/pkgs/main
numpy 1.14.4 py36h9fa60d3_0 anaconda/pkgs/main
numpy 1.14.5 py27h911edcf_0 anaconda/pkgs/main
numpy 1.14.5 py27h911edcf_1 anaconda/pkgs/main
numpy 1.14.5 py27h911edcf_2 anaconda/pkgs/main
numpy 1.14.5 py27h911edcf_3 anaconda/pkgs/main
numpy 1.14.5 py27h911edcf_4 anaconda/pkgs/main
numpy 1.14.5 py35h9fa60d3_0 anaconda/pkgs/main
numpy 1.14.5 py35h9fa60d3_4 anaconda/pkgs/main
numpy 1.14.5 py36h9fa60d3_0 anaconda/pkgs/main
numpy 1.14.5 py36h9fa60d3_1 anaconda/pkgs/main
numpy 1.14.5 py36h9fa60d3_2 anaconda/pkgs/main
numpy 1.14.5 py36h9fa60d3_3 anaconda/pkgs/main
numpy 1.14.5 py36h9fa60d3_4 anaconda/pkgs/main
numpy 1.14.5 py37h9fa60d3_0 anaconda/pkgs/main
numpy 1.14.5 py37h9fa60d3_1 anaconda/pkgs/main
numpy 1.14.5 py37h9fa60d3_2 anaconda/pkgs/main
numpy 1.14.5 py37h9fa60d3_3 anaconda/pkgs/main
numpy 1.14.5 py37h9fa60d3_4 anaconda/pkgs/main
numpy 1.14.6 py27h22e7547_4 anaconda/pkgs/main
numpy 1.14.6 py27h22e7547_5 anaconda/pkgs/main
numpy 1.14.6 py35hc27ee41_4 anaconda/pkgs/main
numpy 1.14.6 py36ha06f490_5 anaconda/pkgs/main
numpy 1.14.6 py36hc27ee41_4 anaconda/pkgs/main
numpy 1.14.6 py37ha06f490_5 anaconda/pkgs/main
numpy 1.14.6 py37hc27ee41_4 anaconda/pkgs/main
numpy 1.14.6 py38h59abe10_4 anaconda/pkgs/main
numpy 1.15.0 py27h911edcf_0 anaconda/pkgs/main
numpy 1.15.0 py35h9fa60d3_0 anaconda/pkgs/main
numpy 1.15.0 py36h9fa60d3_0 anaconda/pkgs/main
numpy 1.15.0 py37h9fa60d3_0 anaconda/pkgs/main
numpy 1.15.1 py27h22e7547_0 anaconda/pkgs/main
numpy 1.15.1 py27hbe4291b_0 anaconda/pkgs/main
numpy 1.15.1 py35ha559c80_0 anaconda/pkgs/main
numpy 1.15.1 py35hc27ee41_0 anaconda/pkgs/main
numpy 1.15.1 py36ha559c80_0 anaconda/pkgs/main
numpy 1.15.1 py36hc27ee41_0 anaconda/pkgs/main
numpy 1.15.1 py37ha559c80_0 anaconda/pkgs/main
numpy 1.15.1 py37hc27ee41_0 anaconda/pkgs/main
numpy 1.15.2 py27hbe4291b_0 anaconda/pkgs/main
numpy 1.15.2 py27hbe4291b_1 anaconda/pkgs/main
numpy 1.15.2 py35ha559c80_0 anaconda/pkgs/main
numpy 1.15.2 py36ha559c80_0 anaconda/pkgs/main
numpy 1.15.2 py37ha559c80_0 anaconda/pkgs/main
numpy 1.15.3 py27hbe4291b_0 anaconda/pkgs/main
numpy 1.15.3 py36ha559c80_0 anaconda/pkgs/main
numpy 1.15.3 py37ha559c80_0 anaconda/pkgs/main
numpy 1.15.4 py27h5fc8d92_0 anaconda/pkgs/main
numpy 1.15.4 py27hbe4291b_0 anaconda/pkgs/main
numpy 1.15.4 py36h19fb1c0_0 anaconda/pkgs/main
numpy 1.15.4 py36ha559c80_0 anaconda/pkgs/main
numpy 1.15.4 py37h19fb1c0_0 anaconda/pkgs/main
numpy 1.15.4 py37ha559c80_0 anaconda/pkgs/main
numpy 1.16.0 py27h5fc8d92_0 anaconda/pkgs/main
numpy 1.16.0 py27h5fc8d92_1 anaconda/pkgs/main
numpy 1.16.0 py36h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.0 py36h19fb1c0_1 anaconda/pkgs/main
numpy 1.16.0 py37h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.0 py37h19fb1c0_1 anaconda/pkgs/main
numpy 1.16.1 py27h5fc8d92_0 anaconda/pkgs/main
numpy 1.16.1 py27h5fc8d92_1 anaconda/pkgs/main
numpy 1.16.1 py36h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.1 py36h19fb1c0_1 anaconda/pkgs/main
numpy 1.16.1 py37h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.1 py37h19fb1c0_1 anaconda/pkgs/main
numpy 1.16.2 py27h5fc8d92_0 anaconda/pkgs/main
numpy 1.16.2 py36h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.2 py37h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.3 py27h5fc8d92_0 anaconda/pkgs/main
numpy 1.16.3 py36h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.3 py37h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.4 py36h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.4 py37h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.5 py27h5fc8d92_0 anaconda/pkgs/main
numpy 1.16.5 py36h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.5 py37h19fb1c0_0 anaconda/pkgs/main
numpy 1.16.6 py27hcd21bde_0 anaconda/pkgs/main
numpy 1.16.6 py36h5510c5b_0 anaconda/pkgs/main
numpy 1.16.6 py36ha4e8547_3 anaconda/pkgs/main
numpy 1.16.6 py37h5510c5b_0 anaconda/pkgs/main
numpy 1.16.6 py37ha4e8547_3 anaconda/pkgs/main
numpy 1.16.6 py37ha4e8547_4 anaconda/pkgs/main
numpy 1.16.6 py38h5510c5b_0 anaconda/pkgs/main
numpy 1.16.6 py38h749eb61_5 anaconda/pkgs/main
numpy 1.16.6 py38ha4e8547_3 anaconda/pkgs/main
numpy 1.16.6 py38ha4e8547_4 anaconda/pkgs/main
numpy 1.16.6 py39h729668d_1 anaconda/pkgs/main
numpy 1.16.6 py39h749eb61_5 anaconda/pkgs/main
numpy 1.16.6 py39ha4e8547_3 anaconda/pkgs/main
numpy 1.16.6 py39ha4e8547_4 anaconda/pkgs/main
numpy 1.17.0 py36h19fb1c0_0 anaconda/pkgs/r
numpy 1.17.0 py37h19fb1c0_0 anaconda/pkgs/r
numpy 1.17.2 py36hc73f44b_0 anaconda/pkgs/main
numpy 1.17.2 py37hc73f44b_0 anaconda/pkgs/main
numpy 1.17.3 py36h4ceb530_0 anaconda/pkgs/main
numpy 1.17.3 py37h4ceb530_0 anaconda/pkgs/main
numpy 1.17.4 py36h4320e6b_0 anaconda/pkgs/main
numpy 1.17.4 py37h4320e6b_0 anaconda/pkgs/main
numpy 1.17.4 py38h4320e6b_0 anaconda/pkgs/main
numpy 1.18.1 py36h93ca92e_0 anaconda/pkgs/main
numpy 1.18.1 py37h93ca92e_0 anaconda/pkgs/main
numpy 1.18.1 py38h93ca92e_0 anaconda/pkgs/main
numpy 1.18.5 py36h6530119_0 anaconda/pkgs/main
numpy 1.18.5 py37h6530119_0 anaconda/pkgs/main
numpy 1.18.5 py38h6530119_0 anaconda/pkgs/main
numpy 1.19.1 py36h5510c5b_0 anaconda/pkgs/main
numpy 1.19.1 py37h5510c5b_0 anaconda/pkgs/main
numpy 1.19.1 py38h5510c5b_0 anaconda/pkgs/main
numpy 1.19.2 py36hadc3359_0 anaconda/pkgs/main
numpy 1.19.2 py37ha4e8547_1 anaconda/pkgs/main
numpy 1.19.2 py37hadc3359_0 anaconda/pkgs/main
numpy 1.19.2 py38ha4e8547_1 anaconda/pkgs/main
numpy 1.19.2 py38hadc3359_0 anaconda/pkgs/main
numpy 1.19.2 py39h729668d_0 anaconda/pkgs/main
numpy 1.19.2 py39ha4e8547_1 anaconda/pkgs/main
numpy 1.19.5 py37h23f9ddc_4 anaconda/pkgs/main
numpy 1.19.5 py38h23f9ddc_4 anaconda/pkgs/main
numpy 1.19.5 py38h749eb61_5 anaconda/pkgs/main
numpy 1.19.5 py39h23f9ddc_4 anaconda/pkgs/main
numpy 1.19.5 py39h749eb61_5 anaconda/pkgs/main
numpy 1.20.1 py37h34a8a5c_0 anaconda/pkgs/main
numpy 1.20.1 py38h34a8a5c_0 anaconda/pkgs/main
numpy 1.20.1 py39h34a8a5c_0 anaconda/pkgs/main
numpy 1.20.2 py37ha4e8547_0 anaconda/pkgs/main
numpy 1.20.2 py38ha4e8547_0 anaconda/pkgs/main
numpy 1.20.2 py39ha4e8547_0 anaconda/pkgs/main
numpy 1.20.3 py37ha4e8547_0 anaconda/pkgs/main
numpy 1.20.3 py38h749eb61_1 anaconda/pkgs/main
numpy 1.20.3 py38ha4e8547_0 anaconda/pkgs/main
numpy 1.20.3 py39h749eb61_1 anaconda/pkgs/main
numpy 1.20.3 py39ha4e8547_0 anaconda/pkgs/main
numpy 1.21.2 py310hfca59bb_0 anaconda/pkgs/main
numpy 1.21.2 py37hfca59bb_0 anaconda/pkgs/main
numpy 1.21.2 py38hfca59bb_0 anaconda/pkgs/main
numpy 1.21.2 py39hfca59bb_0 anaconda/pkgs/main
numpy 1.21.5 py310h4c31df0_0 anaconda/pkgs/main
numpy 1.21.5 py310h6d2d95c_1 anaconda/pkgs/main
numpy 1.21.5 py310h6d2d95c_2 anaconda/pkgs/main
numpy 1.21.5 py310h6d2d95c_3 anaconda/pkgs/main
numpy 1.21.5 py310h85e1a82_4 anaconda/pkgs/main
numpy 1.21.5 py37h7a0a035_1 anaconda/pkgs/main
numpy 1.21.5 py37h7a0a035_2 anaconda/pkgs/main
numpy 1.21.5 py37h7a0a035_3 anaconda/pkgs/main
numpy 1.21.5 py37ha4e8547_0 anaconda/pkgs/main
numpy 1.21.5 py38h6917f2d_4 anaconda/pkgs/main
numpy 1.21.5 py38h7a0a035_1 anaconda/pkgs/main
numpy 1.21.5 py38h7a0a035_2 anaconda/pkgs/main
numpy 1.21.5 py38h7a0a035_3 anaconda/pkgs/main
numpy 1.21.5 py38ha4e8547_0 anaconda/pkgs/main
numpy 1.21.5 py39h6917f2d_4 anaconda/pkgs/main
numpy 1.21.5 py39h7a0a035_1 anaconda/pkgs/main
numpy 1.21.5 py39h7a0a035_2 anaconda/pkgs/main
numpy 1.21.5 py39h7a0a035_3 anaconda/pkgs/main
numpy 1.21.5 py39ha4e8547_0 anaconda/pkgs/main
numpy 1.21.6 py310h85e1a82_1 anaconda/pkgs/main
numpy 1.21.6 py38h85e1a82_1 anaconda/pkgs/main
numpy 1.21.6 py39h85e1a82_1 anaconda/pkgs/main
numpy 1.22.3 py310h6d2d95c_0 anaconda/pkgs/main
numpy 1.22.3 py310h85e1a82_2 anaconda/pkgs/main
numpy 1.22.3 py311h54701ec_1 anaconda/pkgs/main
numpy 1.22.3 py38h6917f2d_2 anaconda/pkgs/main
numpy 1.22.3 py38h7a0a035_0 anaconda/pkgs/main
numpy 1.22.3 py39h6917f2d_2 anaconda/pkgs/main
numpy 1.22.3 py39h7a0a035_0 anaconda/pkgs/main
numpy 1.23.1 py310h6d2d95c_0 anaconda/pkgs/main
numpy 1.23.1 py38h7a0a035_0 anaconda/pkgs/main
numpy 1.23.1 py39h7a0a035_0 anaconda/pkgs/main
numpy 1.23.3 py310h60c9a35_0 anaconda/pkgs/main
numpy 1.23.3 py310h60c9a35_1 anaconda/pkgs/main
numpy 1.23.3 py38h3b20f71_0 anaconda/pkgs/main
numpy 1.23.3 py38h3b20f71_1 anaconda/pkgs/main
numpy 1.23.3 py39h3b20f71_0 anaconda/pkgs/main
numpy 1.23.3 py39h3b20f71_1 anaconda/pkgs/main
numpy 1.23.4 py310h60c9a35_0 anaconda/pkgs/main
numpy 1.23.4 py38h3b20f71_0 anaconda/pkgs/main
numpy 1.23.4 py39h3b20f71_0 anaconda/pkgs/main
numpy 1.23.5 py310h60c9a35_0 anaconda/pkgs/main
numpy 1.23.5 py310h85e1a82_1 anaconda/pkgs/main
numpy 1.23.5 py311h54701ec_0 anaconda/pkgs/main
numpy 1.23.5 py311h8631471_1 anaconda/pkgs/main
numpy 1.23.5 py38h3b20f71_0 anaconda/pkgs/main
numpy 1.23.5 py38h6917f2d_1 anaconda/pkgs/main
numpy 1.23.5 py39h3b20f71_0 anaconda/pkgs/main
numpy 1.23.5 py39h6917f2d_1 anaconda/pkgs/main
numpy 1.24.3 py310h055cbcc_1 anaconda/pkgs/main
numpy 1.24.3 py310hdc03b94_0 anaconda/pkgs/main
numpy 1.24.3 py311ha6a8073_0 anaconda/pkgs/main
numpy 1.24.3 py311hdab7c0b_1 anaconda/pkgs/main
numpy 1.24.3 py38h79a8e48_1 anaconda/pkgs/main
numpy 1.24.3 py38hf95b240_0 anaconda/pkgs/main
numpy 1.24.3 py39h79a8e48_1 anaconda/pkgs/main
numpy 1.24.3 py39hf95b240_0 anaconda/pkgs/main
numpy 1.25.0 py310h055cbcc_0 anaconda/pkgs/main
numpy 1.25.0 py311hdab7c0b_0 anaconda/pkgs/main
numpy 1.25.0 py39h055cbcc_0 anaconda/pkgs/main
numpy 1.25.2 py310h055cbcc_0 anaconda/pkgs/main
numpy 1.25.2 py311hdab7c0b_0 anaconda/pkgs/main
numpy 1.25.2 py39h055cbcc_0 anaconda/pkgs/main
numpy 1.26.0 py310h055cbcc_0 anaconda/pkgs/main
numpy 1.26.0 py311hdab7c0b_0 anaconda/pkgs/main
numpy 1.26.0 py312hfd52020_0 anaconda/pkgs/main
numpy 1.26.0 py39h055cbcc_0 anaconda/pkgs/main
numpy 1.26.2 py310h055cbcc_0 anaconda/pkgs/main
numpy 1.26.2 py311hdab7c0b_0 anaconda/pkgs/main
numpy 1.26.2 py312hfd52020_0 anaconda/pkgs/main
numpy 1.26.2 py39h055cbcc_0 anaconda/pkgs/main
numpy 1.26.3 py310h055cbcc_0 anaconda/pkgs/main
numpy 1.26.3 py311hdab7c0b_0 anaconda/pkgs/main
numpy 1.26.3 py312hfd52020_0 anaconda/pkgs/main
numpy 1.26.3 py39h055cbcc_0 anaconda/pkgs/main
numpy 1.26.4 py310h055cbcc_0 anaconda/pkgs/main
numpy 1.26.4 py311hdab7c0b_0 anaconda/pkgs/main
numpy 1.26.4 py312hfd52020_0 anaconda/pkgs/main
numpy 1.26.4 py39h055cbcc_0 anaconda/pkgs/main
numpy 2.0.0 py310h055cbcc_1 anaconda/pkgs/main
numpy 2.0.0 py311hdab7c0b_1 anaconda/pkgs/main
numpy 2.0.0 py312hfd52020_1 anaconda/pkgs/main
numpy 2.0.0 py39h055cbcc_1 anaconda/pkgs/main
numpy 2.0.1 py310h055cbcc_1 anaconda/pkgs/main
numpy 2.0.1 py311hdab7c0b_1 anaconda/pkgs/main
numpy 2.0.1 py312hfd52020_1 anaconda/pkgs/main
numpy 2.0.1 py39h055cbcc_1 anaconda/pkgs/main
numpy 2.0.2 py310h055cbcc_0 anaconda/pkgs/main
numpy 2.0.2 py311hdab7c0b_0 anaconda/pkgs/main
numpy 2.0.2 py312hfd52020_0 anaconda/pkgs/main
numpy 2.0.2 py39h055cbcc_0 anaconda/pkgs/main
numpy 2.1.1 py310h055cbcc_0 anaconda/pkgs/main
numpy 2.1.1 py311hdab7c0b_0 anaconda/pkgs/main
numpy 2.1.1 py312hfd52020_0 anaconda/pkgs/main
numpy 2.1.3 py310h055cbcc_0 anaconda/pkgs/main
numpy 2.1.3 py311hdab7c0b_0 anaconda/pkgs/main
numpy 2.1.3 py312hfd52020_0 anaconda/pkgs/main
numpy 2.1.3 py313he6dc315_0 anaconda/pkgs/main
numpy 2.2.1 py310h055cbcc_0 anaconda/pkgs/main
numpy 2.2.1 py311hdab7c0b_0 anaconda/pkgs/main
numpy 2.2.1 py312hfd52020_0 anaconda/pkgs/main
numpy 2.2.1 py313he6dc315_0 anaconda/pkgs/main
numpy 2.2.2 py310h055cbcc_0 anaconda/pkgs/main
numpy 2.2.2 py311hdab7c0b_0 anaconda/pkgs/main
numpy 2.2.2 py312hfd52020_0 anaconda/pkgs/main
numpy 2.2.2 py313he6dc315_0 anaconda/pkgs/main
(pi) C:\Users\Mason Lin>```
```python
(pi) C:\Users\Mason Lin>conda remove numpy # 删除包
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: D:\Softwares\anaconda\envs\pi
removed specs:
- numpy
The following packages will be REMOVED:
blas-1.0-mkl
intel-openmp-2023.1.0-h59b6b97_46320
mkl-2023.1.0-h6b88ed4_46358
mkl-service-2.4.0-py39h827c3e9_2
mkl_fft-1.3.11-py39h827c3e9_0
mkl_random-1.2.8-py39hc64d2fc_0
numpy-1.26.4-py39h055cbcc_0
numpy-base-1.26.4-py39h65a83cf_0
tbb-2021.8.0-h59b6b97_0
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(pi) C:\Users\Mason Lin>
(pi) C:\Users\Mason Lin>conda deactivate # 先退出
(base) C:\Users\Mason Lin>conda remove -n pi --all # 删除已有环境
Remove all packages in environment D:\Softwares\anaconda\envs\pi:
## Package Plan ##
environment location: D:\Softwares\anaconda\envs\pi
The following packages will be REMOVED:
ca-certificates-2024.12.31-haa95532_0
openssl-3.0.15-h827c3e9_0
pip-25.0-py39haa95532_0
python-3.9.21-h8205438_1
setuptools-75.8.0-py39haa95532_0
sqlite-3.45.3-h2bbff1b_0
tzdata-2025a-h04d1e81_0
vc-14.42-haa95532_3
vs2015_runtime-14.42.34433-he0abc0d_3
wheel-0.45.1-py39haa95532_0
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) C:\Users\Mason Lin>