Merge pull request #2358 from nd-02110114/update-readme

### Stable version

**Caution!! : The latest stable version was published nearly a year ago. If you are a pip user or you face some errors, we recommend the nightly build version.**

Please install tensorflow v2.3.* before installing deepchem.

RDKit is a soft requirement package, but many useful methods like molnet depend on it. We recommend installing RDKit with deepchem.

```bash

pip install tensorflow==2.3.*

```

Then, you install deepchem via pip or conda.  

```bash

pip install tensorflow==1.14

conda install -y -c conda-forge rdkit deepchem==2.3.0

pip install deepchem

```

or 

```

conda install -c conda-forge deepchem

```

If you want GPU support:

RDKit is a soft requirement package, but many useful methods like molnet depend on it.

We recommend installing RDKit with deepchem if you use conda.

```bash

pip install tensorflow-gpu==1.14

conda install -y -c conda-forge rdkit deepchem==2.3.0

conda install -y -c conda-forge rdkit

```

### Nightly build version

You install the nightly build version via pip. The nightly version is built by the HEAD of DeepChem.

The nightly version is built by the HEAD of DeepChem.

```bash

pip install tensorflow==2.3.*

pip install --pre deepchem

```

RDKit is a soft requirement package, but many useful methods like molnet depend on it. We recommend installing RDKit with deepchem if you use conda.

```bash

conda install -y -c conda-forge rdkit

```

### Docker

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

You pull the image like this.

```bash

docker pull deepchemio/deepchem:2.3.0

docker pull deepchemio/deepchem:2.4.0

```

If you want to know docker usages with deepchem in more detail, please check [the document](https://deepchem.readthedocs.io/en/latest/installation.html#docker).

"""

# If you push the tag, please remove `.dev`

__version__ = '2.4.0'

__version__ = '2.5.0.dev'

import deepchem.data

import deepchem.feat

FROM nvidia/cuda:10.0-cudnn7-devel

FROM nvidia/cuda:10.1-cudnn7-devel

# Install some utilities

RUN apt-get update && \

    conda create -y --name deepchem python=3.6 && \

    . /miniconda/etc/profile.d/conda.sh && \

    conda activate deepchem && \

    pip install tensorflow-gpu==1.14 && \

    conda install -c conda-forge rdkit deepchem==2.3.0 && \

    pip install tensorflow==2.3.* && \

    conda install -c conda-forge rdkit deepchem==2.4.0 && \

    conda clean -afy && \

    rm -rf ~/.cache/pip

Stable version

--------------

**Caution!! : The latest stable version was published nearly a year ago.

If you are a pip user or you face some errors, we recommend 

the nightly build version.**

Please install tensorflow v2.3.* before installing deepchem.

If you'd like to install DeepChem locally, we recommend using

:code:`conda` and installing RDKit with deepchem. 

RDKit is a soft requirement package, but many useful methods like

molnet depend on it.

.. code-block:: bash

    pip install tensorflow==2.3.*

Then, you install deepchem via pip or conda.  

.. code-block:: bash

    pip install tensorflow-gpu==1.14

    conda install -y -c conda-forge rdkit deepchem

    pip install deepchem

For CPU only support instead run

or 

.. code-block:: bash

    pip install tensorflow==1.14

    conda install -y -c conda-forge rdkit deepchem

    conda install -c conda-forge deepchem

RDKit is a soft requirement package, but many useful methods like molnet depend on it.

We recommend installing RDKit with deepchem if you use conda.

.. code-block:: bash

    conda install -y -c conda-forge rdkit

Nightly build version

---------------------

    pip install --pre deepchem

RDKit is a soft requirement package, but many useful methods

like molnet depend on it. We recommend installing RDKit

with deepchem if you use conda.

.. code-block:: bash

    conda install -y -c conda-forge rdkit

Google Colab

------------

.. code-block:: bash

    docker pull deepchemio/deepchem:2.3.0

    docker pull deepchemio/deepchem:latest

Then, you create a container based on the image.

.. code-block:: bash

    docker run --rm -it deepchemio/deepchem:2.3.0

    docker run --rm -it deepchemio/deepchem:latest

If you want GPU support:

.. code-block:: bash

    # If nvidia-docker is installed

    nvidia-docker run --rm -it deepchemio/deepchem:2.3.0

    docker run --runtime nvidia --rm -it deepchemio/deepchem:2.3.0

    nvidia-docker run --rm -it deepchemio/deepchem:latest

    docker run --runtime nvidia --rm -it deepchemio/deepchem:latest

    # If nvidia-container-toolkit is installed

    docker run --gpus all --rm -it deepchemio/deepchem:2.3.0

    docker run --gpus all --rm -it deepchemio/deepchem:latest

You are now in a docker container which deepchem was installed.

You can start playing with it in the command line.