coil/custom_miniconda repository overview

sudo docker build -t custom_miniconda .
sudo docker rm custom_miniconda
sudo docker run --name custom_miniconda -i -t -p 8888:8888 -v "${PWD}:/notebooks" coil/custom_miniconda 

sudo docker exec -it custom_miniconda conda run -n trading_env jupyter notebook list

# custom miniconda build that contains only libraries that we really need
# we can specify for example numpy, pandas, matplotlib ...
# maintainer: tcoil.info
# 
# build as
# sudo docker build -t custom_miniconda .
#
# run this image as
# coil@coil:~/Desktop/miniconda_docker_build$ sudo docker run --name custom_miniconda -i -t -p 8888:8888 -v "${PWD}:/notebooks" custom_miniconda
# or with docker compose demonized

FROM centos:8

RUN yum update -y
RUN yum install -y wget

RUN wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh

# install in batch (silent) mode, does not edit PATH or .bashrc or .bash_profile
# -p path
# -f force
RUN bash Miniconda3-latest-Linux-x86_64.sh -b

ENV PATH=/root/miniconda3/bin:${PATH} 

#RUN source /root/.bashrc
#RUN source /root/.bash_profile

# cleanup
RUN rm Miniconda3-latest-Linux-x86_64.sh

# create directory for notebooks
RUN mkdir /notebooks
WORKDIR /notebooks
COPY . /notebooks/


##############################################################
RUN conda create -n trading_env python=3.6 pip
SHELL ["conda", "run", "-n", "trading_env", "/bin/bash", "-c"]

# should work as well
#  conda init bash
#  source ~/.bashrc
#  conda activate trading_env




RUN python --version
RUN pip install --upgrade pip
RUN pip install -r requirements.txt

######RUN pip install --upgrade mplfinance


RUN conda update -y --all
RUN conda list
RUN conda install -c quantopian ta-lib
###############RUN conda install -c conda-forge jupyterlab

# experimental
####RUN conda install -y -c plotly plotly
####RUN conda install -y -c plotly chart-studio
####RUN conda install jupyterlab "ipywidgets=7.5"
RUN conda install -c conda-forge mplfinance
RUN conda install -c anaconda pandas-datareader

RUN conda install joblib
RUN conda install pytorch torchvision torchaudio cpuonly -c pytorch
RUN conda install -c conda-forge scikit-learn 
RUN conda install -c conda-forge keras==2.2.2
RUN conda install -c conda-forge tensorflow


# have everything updated
RUN conda update -y --all

EXPOSE 8888

# start the jupyter notebook in server mode
CMD ["conda", "run", "-n", "trading_env", "jupyter","notebook","--ip=0.0.0.0","--port=8888","--no-browser","--allow-root", "--notebook-dir=/notebooks"]

# alternatively start the jupyter-lab notebook in server mode
#CMD ["conda", "run", "-n", "trading_env", "jupyter-lab","--ip=0.0.0.0","--port=8888","--no-browser","--allow-root", "--notebook-dir=/notebooks"]