Installing Libraries
In this chapter, we'll pack into the container not only Python and Python script but also several Python libraries.
Dockerfile912345678FROM python:3.9-slim# Installing additional packagesRUN pip install numpy pandas scikit-learnCOPY . .CMD ["python", "app.py"]
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:
Dockerfile9912345678910FROM python:3.9-slim# Copying all filesCOPY . .# Installing dependencies from requirements fileRUN pip3 install -r requirements.txtCMD ["python", "app.py"]
You also need to create a requirements.txt
file listing the libraries you want to install. For example:
python91234numpypandasscikit-learn
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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