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jakevdp-pythondatasciencehandbook

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Summary Iterations3 Transcript36 Dockerfile

01Iteration 1

WRITEWriteFile· step #1

Dockerfile1311 bytes written

▸text38 lines · 1311 chars

FROM ubuntu:jammy-20260210.1

# Non-interactive apt installs
ENV DEBIAN_FRONTEND=noninteractive

# System dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV CONDA_DIR=/opt/conda
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh \
    && bash /tmp/miniconda.sh -b -p ${CONDA_DIR} \
    && rm /tmp/miniconda.sh \
    && ${CONDA_DIR}/bin/conda clean -tipsy -y

ENV PATH="${CONDA_DIR}/bin:${PATH}"
# Initialize conda for bash (non-interactive shells may not rely on this, but it's harmless)
RUN ${CONDA_DIR}/bin/conda init -bash

# Copy environment and create the conda environment
COPY environment.yml /tmp/environment.yml
RUN /bin/bash -lc "conda env create -f /tmp/environment.yml"

# Copy the project into the container
WORKDIR /workspace
COPY . /workspace

# Expose Jupyter port
EXPOSE 8888

# Default token for Jupyter; override at run time if needed
ENV JUPYTER_TOKEN=secret

# Start Jupyter Notebook in the data-science-handbook conda environment
CMD ["/bin/bash","-lc","conda run -n data-science-handbook jupyter notebook --no-browser --ip=0.0.0.0 --port=8888 --NotebookApp.token='${JUPYTER_TOKEN}'"]

WRITEWriteFile· step #2

.dockerignore417 bytes written

▸dockerignore35 lines · 417 chars

# Ignore VCS
.git
.gitignore

# Python caches
__pycache__/
**/__pycache__/
*.pyc

# Jupyter checkpoints
**/.ipynb_checkpoints/

# Large directories we may not want to ship
website/output/
notebooks/data/
notebooks/figures/
notebooks_v1/data/
notebooks_v1/figures/
notebooks_v2/data/
notebooks_v2/figures/

# Misc
.env
venv/
ENV/
env/
dist/
build/
*.egg-info/
*.egg

# Docker related (if any)
.dockerignore
Dockerfile

VERIFYVerifyBuild· step #3

26s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #4

.dockerignore417 bytes written

▸dockerignore35 lines · 417 chars

# Ignore VCS
.git
.gitignore

# Python caches
__pycache__/
**/__pycache__/
*.pyc

# Jupyter checkpoints
**/.ipynb_checkpoints/

# Large directories we may not want to ship
website/output/
notebooks/data/
notebooks/figures/
notebooks_v1/data/
notebooks_v1/figures/
notebooks_v2/data/
notebooks_v2/figures/

# Misc
.env
venv/
ENV/
env/
dist/
build/
*.egg-info/
*.egg

# Docker related (if any)
.dockerignore
Dockerfile

WRITEWriteFile· step #5

.dockerignore420 bytes written

▸dockerignore33 lines · 420 chars

# Ignore VCS
.git
.gitignore

# Python caches
__pycache__/
**/__pycache__/
*.pyc

# Jupyter checkpoints
**/.ipynb_checkpoints/

# Large directories we may not want to ship
website/output/
notebooks/data/
notebooks/figures/
notebooks_v1/data/
notebooks_v1/figures/
notebooks_v2/data/
notebooks_v2/figures/

# Misc
.env
venv/
ENV/
env/
dist/
build/
*.egg-info/
*.egg

# Do not ignore Dockerfile (needed for build context)

VERIFYVerifyBuild· step #6

34s

VerifyBuildrejected

Concerns: The CMD uses token='${JUPYTER_TOKEN}'; the single quotes prevent environment variable expansion, so the Jupyter token will not be set correctly. This will likely cause Jupyter to fail to start or require a literal token instead of the intended value., The build assumes environment.yml exists at the repository root; if it's missing, the conda env creation will fail during docker build.

WRITEWriteFile· step #7

Dockerfile1309 bytes written

▸text38 lines · 1309 chars

FROM ubuntu:jammy-20260210.1

# Non-interactive apt installs
ENV DEBIAN_FRONTEND=noninteractive

# System dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV CONDA_DIR=/opt/conda
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh \
    && bash /tmp/miniconda.sh -b -p ${CONDA_DIR} \
    && rm /tmp/miniconda.sh \
    && ${CONDA_DIR}/bin/conda clean -tipsy -y

ENV PATH="${CONDA_DIR}/bin:${PATH}"
# Initialize conda for bash (non-interactive shells may not rely on this, but it's harmless)
RUN ${CONDA_DIR}/bin/conda init -bash

# Copy environment and create the conda environment
COPY environment.yml /tmp/environment.yml
RUN /bin/bash -lc "conda env create -f /tmp/environment.yml"

# Copy the project into the container
WORKDIR /workspace
COPY . /workspace

# Expose Jupyter port
EXPOSE 8888

# Default token for Jupyter; override at run time if needed
ENV JUPYTER_TOKEN=secret

# Start Jupyter Notebook in the data-science-handbook conda environment
CMD ["/bin/bash","-lc","conda run -n data-science-handbook jupyter notebook --no-browser --ip=0.0.0.0 --port=8888 --NotebookApp.token=${JUPYTER_TOKEN}"]

VERIFYVerifyBuild· step #8

20s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

02Iteration 2

WRITEWriteFile· step #1

Dockerfile1179 bytes written

▸text46 lines · 1179 chars

FROM ubuntu:jammy-20260210.1

ENV DEBIAN_FRONTEND=noninteractive

# Install system utilities
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        wget \
        ca-certificates \
        curl \
        git \
        build-essential \
        bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV CONDA_DIR=/opt/conda

RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh \
    && bash /tmp/miniconda.sh -b -p ${CONDA_DIR} \
    && rm /tmp/miniconda.sh

ENV PATH=${CONDA_DIR}/bin:${PATH}

# Configure conda
RUN conda config --set always_yes yes \
    && conda config --add channels conda-forge

WORKDIR /workspace

# Copy environment.yml and create the conda environment
COPY environment.yml ./environment.yml
RUN conda env create -f environment.yml

# Copy the rest of the repository
COPY . .

# Clean up conda caches to reduce image size
RUN conda clean -a -y

# Expose Jupyter port
EXPOSE 8888

# Run Jupyter Notebook server using the conda environment
CMD ["bash","-lc","conda run -n data-science-handbook jupyter notebook --NotebookApp.token='' --ip=0.0.0.0 --no-browser --allow-root"]

VERIFYVerifyBuild· step #2

17s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #3

.dockerignore385 bytes written

▸dockerignore31 lines · 385 chars

# Ignore VCS and Python caches
.git
__pycache__/
*.pyc
*.pyo
*.pyd
.ipynb_checkpoints/

# Large notebooks and data directories
notebooks/
notebooks_v1/
notebooks_v2/
notebooks/data/
notebooks/figures/

# Website artifacts (optional to avoid rebuild churn)
website/

# Build artifacts
build/
dist/
*.egg-info/

# Conda caches
conda-env/
conda-packages/

# Environment files
.env
.env.*

VERIFYVerifyBuild· step #4

26s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #5

Dockerfile1146 bytes written

▸text46 lines · 1146 chars

FROM ubuntu:22.04

ENV DEBIAN_FRONTEND=noninteractive

# Install system utilities
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        wget \
        ca-certificates \
        curl \
        git \
        build-essential \
        bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV CONDA_DIR=/opt/conda

RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh \
    && bash /tmp/miniconda.sh -b -p ${CONDA_DIR} \
    && rm /tmp/miniconda.sh

ENV PATH=${CONDA_DIR}/bin:${PATH}

# Configure conda
RUN conda config --set always_yes yes \
    && conda config --add channels conda-forge

WORKDIR /workspace

# Copy environment.yml and create the conda environment
COPY environment.yml ./environment.yml
RUN conda env create -f environment.yml

# Copy the rest of the repository
 COPY . .

# Clean up conda caches to reduce image size
RUN conda clean -a -y

# Expose Jupyter port
EXPOSE 8888

# Run Jupyter Notebook server using the conda environment
CMD ["bash","-lc","conda run -n data-science-handbook jupyter notebook --ip=0.0.0.0 --no-browser --allow-root"]

VERIFYVerifyBuild· step #6

30s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #7

Dockerfile1145 bytes written

▸text46 lines · 1145 chars

FROM ubuntu:22.04

ENV DEBIAN_FRONTEND=noninteractive

# Install system utilities
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        wget \
        ca-certificates \
        curl \
        git \
        build-essential \
        bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV CONDA_DIR=/opt/conda

RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh \
    && bash /tmp/miniconda.sh -b -p ${CONDA_DIR} \
    && rm /tmp/miniconda.sh

ENV PATH=${CONDA_DIR}/bin:${PATH}

# Configure conda
RUN conda config --set always_yes yes \
    && conda config --add channels conda-forge

WORKDIR /workspace

# Copy environment.yml and create the conda environment
COPY environment.yml ./environment.yml
RUN conda env create -f environment.yml

# Copy the rest of the repository
COPY . .

# Clean up conda caches to reduce image size
RUN conda clean -a -y

# Expose Jupyter port
EXPOSE 8888

# Run Jupyter Notebook server using the conda environment
CMD ["bash","-lc","conda run -n data-science-handbook jupyter notebook --ip=0.0.0.0 --no-browser --allow-root"]

VERIFYVerifyBuild· step #8

35s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #9

Dockerfile1288 bytes written

▸text46 lines · 1288 chars

FROM ubuntu:22.04

ENV DEBIAN_FRONTEND=noninteractive

# Install system utilities
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        wget \
        ca-certificates \
        curl \
        git \
        build-essential \
        bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV CONDA_DIR=/opt/conda

RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh \
    && bash /tmp/miniconda.sh -b -p ${CONDA_DIR} \
    && rm /tmp/miniconda.sh

ENV PATH=${CONDA_DIR}/bin:${PATH}

# Configure conda
RUN conda config --set always_yes yes \
    && conda config --add channels conda-forge

WORKDIR /workspace

# Copy environment.yml and create the conda environment
COPY environment.yml ./environment.yml
RUN conda env create -f environment.yml

# Copy the rest of the repository
COPY . .

# Clean up conda caches to reduce image size
RUN conda clean -a -y

# Expose Jupyter port
EXPOSE 8888

# Run Jupyter Notebook server using the conda environment
CMD ["bash","-lc","if [ -n \"$JUPYTER_TOKEN\" ]; then TOKEN_OPT=\"--NotebookApp.token=$JUPYTER_TOKEN\"; else TOKEN_OPT=\"--NotebookApp.token=''\"; fi; conda run -n data-science-handbook jupyter notebook $TOKEN_OPT --ip=0.0.0.0 --no-browser --allow-root"]

VERIFYVerifyBuild· step #10

20s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

03Iteration 3

WRITEWriteFile· step #1

Dockerfile1218 bytes written

▸text40 lines · 1218 chars

# Use stable base image
FROM ubuntu:jammy-20260210.1

# Avoid interactive prompts
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV PATH=/opt/conda/bin:$PATH
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    /opt/conda/bin/conda init -bash && \
    /opt/conda/bin/conda config --set always_yes yes && \
    /opt/conda/bin/conda config --add channels conda-forge

# Set working directory
WORKDIR /workspace

# Copy environment specification and create conda env
COPY environment.yml .
RUN /opt/conda/bin/conda env create -f environment.yml

# Copy remaining repository files
COPY . .

# Environment variables
ENV ENV_NAME=data-science-handbook
ENV JUPYTER_TOKEN=secret

# Expose Jupyter port
EXPOSE 8888

# Start Jupyter Notebook by default
CMD ["bash","-lc","conda run -n ${ENV_NAME} jupyter notebook --ip=0.0.0.0 --no-browser --NotebookApp.token=${JUPYTER_TOKEN}"]

WRITEWriteFile· step #2

./.dockerignore294 bytes written

▸dockerignore19 lines · 294 chars

# Ignore version control and large data/notebooks
.git
notebooks/data/
notebooks/figures/
notebooks/*.ipynb
notebooks_v1/
notebooks_v2/
notebooks_v1/**
notebooks_v2/**
notebooks/**/.ipynb_checkpoints
Dockerfile
.dockerignore
website/output
website/content/*.ipynb
__pycache__
*.pyc
*.pyo
*.pyd

VERIFYVerifyBuild· step #3

38s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #4

Dockerfile1306 bytes written

▸text44 lines · 1306 chars

# Use stable base image
FROM ubuntu:jammy-20260210.1

# Avoid interactive prompts
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV PATH=/opt/conda/bin:$PATH
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    /opt/conda/bin/conda init -bash && \
    /opt/conda/bin/conda config --set always_yes yes && \
    /opt/conda/bin/conda config --add channels conda-forge

# Set working directory
WORKDIR /workspace

# Copy environment specification and create conda env
COPY environment.yml .
RUN /opt/conda/bin/conda env create -f environment.yml && \
    /opt/conda/bin/conda clean -a -y

# Copy remaining repository files
COPY . .

# Environment variables
ARG ENV_NAME=data-science-handbook
ENV ENV_NAME=${ENV_NAME}

# Expose Jupyter port
EXPOSE 8888

# Token for Jupyter
ENV JUPYTER_TOKEN=secret

# Start Jupyter Notebook by default
CMD ["bash","-lc","conda run -n ${ENV_NAME} jupyter notebook --ip=0.0.0.0 --no-browser --NotebookApp.token=${JUPYTER_TOKEN}"]

VERIFYVerifyBuild· step #5

28s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #6

Dockerfile1281 bytes written

▸text43 lines · 1281 chars

# Use stable base image
FROM ubuntu:jammy-20260210.1

# Avoid interactive prompts
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV PATH=/opt/conda/bin:$PATH
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    /opt/conda/bin/conda init -bash && \
    /opt/conda/bin/conda config --set always_yes yes && \
    /opt/conda/bin/conda config --add channels conda-forge

# Set working directory
WORKDIR /workspace

# Copy environment specification and create conda env
COPY environment.yml .
RUN /opt/conda/bin/conda env create -f environment.yml && \
    /opt/conda/bin/conda clean -a -y

# Copy remaining repository files
COPY . .

# Environment variables
ENV ENV_NAME=data-science-handbook

# Expose Jupyter port
EXPOSE 8888

# Token for Jupyter
ENV JUPYTER_TOKEN=secret

# Start Jupyter Notebook by default
CMD ["bash","-lc","conda run -n ${ENV_NAME} jupyter notebook --ip=0.0.0.0 --no-browser --NotebookApp.token=${JUPYTER_TOKEN}"]

VERIFYVerifyBuild· step #7

29s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #8

Dockerfile1240 bytes written

▸text42 lines · 1240 chars

# Use stable base image
FROM ubuntu:jammy-20260210.1

# Avoid interactive prompts
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV PATH=/opt/conda/bin:$PATH
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    /opt/conda/bin/conda config --set always_yes yes && \
    /opt/conda/bin/conda config --add channels conda-forge

# Set working directory
WORKDIR /workspace

# Copy environment specification and create conda env
COPY environment.yml .
RUN /opt/conda/bin/conda env create -f environment.yml && \
    /opt/conda/bin/conda clean -a -y

# Copy remaining repository files
COPY . .

# Environment variables
ENV ENV_NAME=data-science-handbook

# Expose Jupyter port
EXPOSE 8888

# Token for Jupyter
ENV JUPYTER_TOKEN=secret

# Start Jupyter Notebook by default
CMD ["bash","-lc","conda run -n ${ENV_NAME} jupyter notebook --ip=0.0.0.0 --no-browser --NotebookApp.token=${JUPYTER_TOKEN}"]

VERIFYVerifyBuild· step #9

24s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #10

Dockerfile1240 bytes written

▸text42 lines · 1240 chars

# Use stable base image
FROM ubuntu:jammy-20260210.1

# Avoid interactive prompts
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV PATH=/opt/conda/bin:$PATH
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    /opt/conda/bin/conda config --set always_yes yes && \
    /opt/conda/bin/conda config --add channels conda-forge

# Set working directory
WORKDIR /workspace

# Copy environment specification and create conda env
COPY environment.yml .
RUN /opt/conda/bin/conda env create -f environment.yml && \
    /opt/conda/bin/conda clean -a -y

# Copy remaining repository files
COPY . .

# Environment variables
ENV ENV_NAME=data-science-handbook

# Expose Jupyter port
EXPOSE 8888

# Token for Jupyter
ENV JUPYTER_TOKEN=secret

# Start Jupyter Notebook by default
CMD ["bash","-lc","conda run -n ${ENV_NAME} jupyter notebook --ip=0.0.0.0 --no-browser --NotebookApp.token=${JUPYTER_TOKEN}"]

VERIFYVerifyBuild· step #11

33s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #12

.dockerignore315 bytes written

▸dockerignore20 lines · 315 chars

# Ignore version control and large data/notebooks
.git
notebooks/data/
notebooks/figures/
notebooks/*.ipynb
notebooks_v1/
notebooks_v2/
notebooks_v1/**
notebooks_v2/**
notebooks/**/.ipynb_checkpoints
notebooks/**/*.ipynb
Dockerfile
.dockerignore
website/output
website/content/*.ipynb
__pycache__
*.pyc
*.pyo
*.pyd

VERIFYVerifyBuild· step #13

56s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #14

Dockerfile1391 bytes written

▸text43 lines · 1391 chars

# Use stable base image
FROM ubuntu:jammy-20260210.1

# Avoid interactive prompts
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV PATH=/opt/conda/bin:$PATH
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    /opt/conda/bin/conda config --set always_yes yes && \
    /opt/conda/bin/conda config --add channels conda-forge

# Set working directory
WORKDIR /workspace

# Create environment name (expected to match environment.yml)
ARG ENV_NAME=data-science-handbook
ENV ENV_NAME=${ENV_NAME}

# Copy environment specification and create conda env
COPY environment.yml .
RUN /opt/conda/bin/conda env create -f environment.yml && \
    /opt/conda/bin/conda clean -a -y

# Copy remaining repository files
COPY . .

# Expose Jupyter port
EXPOSE 8888

# Token for Jupyter (can be overridden at runtime via JUPYTER_TOKEN)
ENV JUPYTER_TOKEN=secret

# Start Jupyter Notebook by default
CMD ["bash","-lc","export JUPYTER_TOKEN=${JUPYTER_TOKEN}; conda run -n ${ENV_NAME} jupyter notebook --ip=0.0.0.0 --no-browser --NotebookApp.token=${JUPYTER_TOKEN}"]

VERIFYVerifyBuild· step #15

27s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock

WRITEWriteFile· step #16

Dockerfile1555 bytes written

▸text50 lines · 1555 chars

# Use stable base image
FROM ubuntu:jammy-20260210.1

# Avoid interactive prompts
ENV DEBIAN_FRONTEND=noninteractive

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential wget ca-certificates curl git bzip2 \
    && rm -rf /var/lib/apt/lists/*

# Install Miniconda
ENV PATH=/opt/conda/bin:$PATH
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    /opt/conda/bin/conda config --set always_yes yes && \
    /opt/conda/bin/conda config --add channels conda-forge

# Set working directory for builds
WORKDIR /workspace

# Create a non-root user for runtime
RUN useradd -m -s /bin/bash dsb

# Copy environment specification and create conda env (build as root)
COPY environment.yml .
RUN /opt/conda/bin/conda env create -f environment.yml && \
    /opt/conda/bin/conda clean -a -y

# Copy repository files and adjust ownership for non-root user
COPY . .
RUN chown -R dsb:dsb /workspace || true

# Environment variables
ENV ENV_NAME=data-science-handbook

# Expose Jupyter port
EXPOSE 8888

# Token for Jupyter (can be overridden at runtime via JUPYTER_TOKEN)
ENV JUPYTER_TOKEN=secret

# Use non-root user for runtime
USER dsb
ENV HOME=/home/dsb

# Start Jupyter Notebook by default
CMD ["bash","-lc","export JUPYTER_TOKEN=${JUPYTER_TOKEN}; conda run -n ${ENV_NAME} jupyter notebook --ip=0.0.0.0 --no-browser --NotebookApp.token=${JUPYTER_TOKEN}"]

GREPGrepFiles· step #17

/ENV_NAME/in1 matches

▸show matches1

No matches found.

VERIFYVerifyBuild· step #18

37s

VerifyBuildbuild_failed

▸Build error

ERROR: permission denied while trying to connect to the docker API at unix:///var/run/docker.sock