Solve the problem that jupyter cannot connect to the kernel based on pycharm and Anaconda -- solution 1

Knowledge point ：

One 、Anaconda Create a virtual environment and use Jupyter-notebook Open the virtual environment

1、 complete anaconda Software installation

2、 complete pycharm Software installation

3、 complete anaconda Virtual environment creation

Tsinghua image quickly creates a virtual environment

4、 Activate the virtual environment

activate Name of the environment

5、 If your pycharm Medium terminal Before running PS, Then you may appear Jupyter Can't connect Kernel( kernel ) problem

stay setting Search for terminal, take shell path Switch to cmd.exe that will do
Then turn off , Reopen pycharm.

6、 Add virtual environment to jupyter notebook

(1） install ipykernel：pip install ipykernel

(2） Activate the environment

(3） Write environment to Notebook Of kernel in ：

python -m ipykernel install --user --name Name of the environment --display-name "Python ( Name of the environment )"



result ：
C:\Users\herong\AppData\Roaming\jupyter\kernels\pytorch_test1 Under this path kernel.json The file displays correctly

(4） open Jupyter notebook###### (5） Pop up jupyter Interface selection environment

Be careful ：

1、 The address bar of your browser kernel_name=pytorch_test1 important , It means you start to enter that environment .
http://localhost:8888/notebooks/jupyter_20220606/Untitled4.ipynb?kernel_name=pytorch_test1
2、jupter To try connecting more , Sometimes I feel unstable , I don't know if it's metaphysics ？

''' This is just my solution , It may not be a good solution to all problems ,  I hope it can help you to some extent ,  If we can find a better solution , Can comment , Thank you bosses '''