jupyter notebook相关
-
centos使用jupyter notebook
参考:https://zhuanlan.zhihu.com/p/589702309
403 forbidden: https://blog.csdn.net/langyu1021/article/details/98482589 -
导出pdf
参考:https://blog.csdn.net/sinat_32872729/article/details/132445344 -
设置环境变量
参考:https://blog.csdn.net/adreammaker/article/details/118858854
参考:https://stackoverflow.com/questions/37890898/how-to-set-env-variable-in-jupyter-notebook -
设置定制化kernal
4.1jupyter kernelspec list查看系统中的kernal配置文件
4.2 进入到相关目录修改相关kernel.json文件
{"argv": [
# 设置环境变量
"env",
"VAR1=value1",
"VAR2=value2",
# 设置运行python环境
"/path/to/python",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}"
],
# 在jupyter 中显示名称
"display_name": "Python (myenv)",
# 语言
"language": "python"
}
- 创建新kernel
#1. 创建虚拟环境并激活
conda create --name my_new_kernel_env python=3.10
conda activate my_new_kernel_env
# 或者
python3 -m venv my_new_kernel_env
source my_new_kernel_env/bin/activate
#2. 安装依赖
pip install ipykernel
#3. 将环境添加到jupyter
python -m ipykernel install --user --name=my_new_kernel --display-name "Python (my_new_kernel)"
# 4. 验证
jupyter kernelspec list
- 删除kernel
jupyter kernelspec uninstall my_new_kernel
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