Added Dockerfile #5
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<!-- All contributors please complete these sections, including maintainers --> # About this change - What it does <!-- Provide a small sentence that summarizes the change. --> <!-- Provide the issue number below if it exists. --> Resolves: #xxxxx # Why this way <!-- Provide a small explanation on why this is the approach you took for solving this problem. -->
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Pull Request Overview
This PR adds a new Dockerfile to enable containerization of the project using a Jupyter data science environment. The Dockerfile sets up a multi-stage build with a base Jupyter notebook image and configures the working directory and port exposure.
Key Changes
- Introduces containerization support through a new Dockerfile
- Sets up multi-stage build using jupyter/datascience-notebook as base image
- Configures working directory and exposes port 8888 for Jupyter notebook access
Comments suppressed due to low confidence (1)
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| FROM jupyter/datascience-notebook AS base | |||
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| FROM base AS deps | |||
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The 'deps' stage is created but doesn't install any dependencies. Either add dependency installation commands or remove this unnecessary stage to simplify the build.
| FROM base AS deps |
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| FROM base AS deps | ||
| WORKDIR /home/jovyan/work | ||
| COPY . . |
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Copying all files with 'COPY . .' can include unnecessary files in the container. Consider using a .dockerignore file or being more specific about which files to copy to reduce image size and avoid including sensitive files.
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About this change - What it does
Resolves: #xxxxx
Why this way