--- tags: jupyter, ikernel, conda, liunx, JupyterLab, JupyterNotebook, ipykernel --- # How to join conda env into jupyter notebook (Installing Jupyter&Kernel) Related: [Jupyter 新增虛擬環境為新 kernel](/s1dDlCVyTv-56ULPRgnsvQ) 來源: 1. [ref.](https://medium.com/@nrk25693/how-to-add-your-conda-environment-to-your-jupyter-notebook-in-just-4-steps-abeab8b8d084) 2. [ipython doc](https://ipython.readthedocs.io/en/stable/install/kernel_install.html) 3. https://jupyter.org/install --- ## 安裝 Jupyter (Jupyter Lab, Jupyter Notebook) 首先要有安裝 jupyter notebook/lab，兩者挑一個安裝即可， 我建議用 conda 建一個只用來建制 Jupyter Server 的環境, 以方便管理 (anaconda 已內建、miniconda 要自己裝) ### Jupyter Notebook (類似 google colab) install the classic Jupyter Notebook ``` pip install notebook ``` To run the notebook: ``` jupyter notebook ``` ### JupyterLab (有整合 command line) Install JupyterLab with pip: ``` pip install jupyterlab ``` To run JupyterLab: ``` jupyter-lab ``` --- 可透過已下命令，可於任意虛擬環境查看目前 jupyter 已連動的 kernel ```bash jupyter kernelspec list ``` ## 將指定的 conda python 環境加進 jupyter kernel 1. Create a Conda environment. ```bash conda create --name <myenv> ``` or [create a tensorflow with gpu env](https://docs.anaconda.com/anaconda/user-guide/tasks/tensorflow/): ```bash conda create -n <myenv-gpu> python=<version> tensorflow-gpu ``` 2. Activate \<myenv\> ```bash conda activate <myenv> ``` install any package you need in this environment. ```bash pip install <package> ``` 3. Set this conda environment on your jupyter notebook, to do so please install ipykernel. <mark>(install in this myenv)</mark> ```bash conda activate myenv # `source activate myenv` in linux, 若已開啟 myenv 則不用這行 conda install pip conda install ipykernel # or pip install ipykernel ``` 可透過以下命令 (==jupyter kernelspec list==) ，可查看目前虛擬環境允許被 jupyter 連動 (當啟動 jyputer notebook 會自動帶入此環境為 jyputer kernel) ```bash jupyter kernelspec list ``` 4. ==Install a `Python environment Kernel` in a myenv.== ```bash conda activate myenv # `source activate myenv` in linux, 若已開啟 myenv 則不用這行 python -m ipykernel install --user --name <this-myenv-name> --display-name "name-you-want-show-in-notebook" ``` 當然，你也可以為其他虛擬環境增加 ipykernel (使 jupyter notebook 可以使用此 env 作為 kernel) ```bash conda activate other-env # `source activate other-env` in linux, 若已開啟 myenv 則不用這行 python -m ipykernel install --user --name <this-env-name> --display-name "Python (other-env)" ``` --- 移除 ipykernel ```linux jupyter kernelspec remove <myenv> ```