In particular, we'll discuss:

• The basics, such as ensuring we don't copy data into the container using .dockerignore
• Squashing layers to ensure we don't end up with redundant cached files in layers
• Selection of the base image, and find out why the often-heard advice of using an alpine base image actually doesn't help.
• How we can see what is actually taking up space in our images by using a tool called dive
• How to use Multi-stage builds to make sure we only have the files we need to run our application in the image.
• Optimizing package sizes by compiling them ourselves
• How Python wheels work and how they can help

At the end of this talk, you'll know some practical, and some very impractical methods you can apply to build tiny containers for the PyData stack