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Docker for Python Developers
Docker for Python Developers
Installing Libraries
In this chapter, we'll pack into the container not only Python and Python script but also several Python libraries.
After specifying the base image, you use the RUN pip install
command to install additional Python packages using the pip
package manager. In this case, you're installing the numpy
, pandas
, and scikit-learn
packages, which for example, might be crucial for data analysis and machine learning.
This Dockerfile demonstrates how to install dependencies and additional files in your Docker container for use in your data analysis or machine learning projects.
Installing Requirements
Here's the revised Dockerfile where libraries are installed using a requirements file:
You also need to create a requirements.txt
file listing the libraries you want to install. For example:
After that, you can build the Docker image using the command docker build -t <image_name> .
, where <image_name>
is the name you want to give to your image.
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