Yike Cheng

> I test the codes in python file but not yet in notebook, maybe I can create a notebook named 'handbook_py' for convenience?

> > > > Yes, actually I think when Python kernel is ready, we can remove all Node.js related files since it is not quite friendly to data science students...

> Thanks, I will check it out. And do I need to install dependencies myself? I recommend installing these dependencies with `pip` based on `Anaconda` environment.

> I think we need more documentation about the environment setup or a docker image maybe better like Node.js kernel. Since we don't sure the Python version for each developer...

> I think we need more documentation about the environment setup or a docker image maybe better like Node.js kernel. Since we don't sure the Python version for each developer...

> I am using the Python kernel and it mostly works fine, but there are some errors dealing with Neo4j database, I will fix them and sync back to the...

> Another question: > > * What does `src/metrics/__init.py__` file do? Is this file needed or any other `__init.py__` file needed? If no such file needed, can we add it...

> Don't bother, I will update `.gitignore` and update all the changes into this PR. You don't need to add more commits now. Ok

> I have updated this PR and add comments about what I change. And I ran all the `notebook_py.ipynb` codes and generate the results. Can you checkout the new code...

I find that some results in `handbook_py.ipynb` are different from results in `handbook_zh.ipynb`, is it because the `handbook_zh.ipynb` is not the latest edition? @frank-zsy