安装 jupyter，尽管 pin-1 无法安装，因为它需要 python 3.12

Question

尝试使用

conda install jupyter

安装 jupyter，在 Anaconda 提示符下，出现

pin-1 in not installable because it requires python 3.12

我安装了python 3.11，我安装的miniconda版本使用的是python 3.11。

还有其他方法安装jupyter吗？

完整的错误回溯：

Collecting package metadata (repodata.json): done
Solving environment: / warning  libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE
failed

LibMambaUnsatisfiableError: Encountered problems while solving:
  - package jupyter-1.0.0-py27_4 requires python >=2.7,<2.8.0a0, but none of the providers can be installed

Could not solve for environment specs
The following packages are incompatible
├─ jupyter is installable with the potential options
│  ├─ jupyter 1.0.0 would require
│  │  └─ python >=2.7,<2.8.0a0 , which can be installed;
│  ├─ jupyter 1.0.0 would require
│  │  └─ python >=3.10,<3.11.0a0 , which can be installed;
│  ├─ jupyter 1.0.0 would require
│  │  └─ python >=3.11,<3.12.0a0 , which can be installed;
│  ├─ jupyter 1.0.0 would require
│  │  └─ python >=3.5,<3.6.0a0 , which can be installed;
│  ├─ jupyter 1.0.0 would require
│  │  └─ python >=3.6,<3.7.0a0 , which can be installed;
│  ├─ jupyter 1.0.0 would require
│  │  └─ python >=3.7,<3.8.0a0 , which can be installed;
│  ├─ jupyter 1.0.0 would require
│  │  └─ python >=3.8,<3.9.0a0 , which can be installed;
│  └─ jupyter 1.0.0 would require
│     └─ python >=3.9,<3.10.0a0 , which can be installed;
└─ pin-1 is not installable because it requires
   └─ python 3.12.* , which conflicts with any installable versions previously reported.

Pins seem to be involved in the conflict. Currently pinned specs:
 - python 3.12.* (labeled as 'pin-1')

Answer 1

你可以这样做：

    conda install python=3.10

然后，重新运行此命令：

    conda install jupyter

Answer 2

只需在您的环境中安装版本在 3.10 - 3.11 之间的 python

我刚刚用这个命令解决了这个问题 第一：

conda安装python=3.10

然后：

conda 安装 jupyter

Answer 3

Anaconda 默认基本环境包含很多您永远不会使用的内容，但每当您想要添加某些内容时，都会增加包兼容性的复杂性。
在这里，有一个替代解决方案可以“创建一个最小的环境”来满足您的需求？ （然后切换到 JupyterLab。是时候了。） 此外，创建新的自定义环境将利用 conda

环境求解器

，这将确保基本包之间的兼容性。使用如下命令：

conda create -n yournewenvname python jupyterlab

环境激活后，例如，这个可以让您立即运行 jupyterlab。今天测试，已安装：

conda 列表 python # python 3.11.7

conda 列表 jupyterlab # jupyterlab 4.0.8

现在，如果您希望维护

Python 版本 3.11 和 jupyter

，请改用它：

conda create -n yournewenvname python=3.11 jupyter