📝 update docs

### Install using a Docker (WIP)

### Build the image from Dockerfile

If you want to install using a docker, you can pull two images.

We created [sample Dockerfiles](https://github.com/deepchem/deepchem/tree/master/docker) based on the `nvidia/cuda:10.1-cudnn7-devel` image.  

If you want to build your own deepchem environment, these files may be helpful.  

- `docker/x.x.x` : build an image by using conda package manager (x.x.x is a version of deepchem)  

- `docker/master` : build an image from master branch of deepchem source codes

### Use the official deepchem image (WIP)

We couldn't check if this introduction works well or not.

- `deepchemio/deepchem:x.x.x`

  - Image built by using a conda package manager (x.x.x is a version of deepchem)

  - Dockerfile is put in `docker/x.x.x` directory of this repository

  - [Docker Hub](https://hub.docker.com/repository/docker/deepchemio/deepchem)

- `deepchemio/deepchem-master`

  - Image built by the master branch of deepchem source codes

  - Dockerfile is put in `docker/master` directory of this repository

  - [Docker Hub](https://hub.docker.com/repository/docker/deepchemio/deepchem-master)

First, you pull the latest stable deepchem docker image.

```bash

# you can start playing with it in the command line

pip install jupyter

ipython

python

import deepchem as dc

# you can run our tox21 benchmark