Containerize Python Applications with Docker

For the second Dockerfile you showed in this video (18:25) I just wanted to mention that in general it's better practice to have RUN pip install directly after COPY requirements.txt and before COPY ./src This is because of the way docker caches build layers. As soon as any change happens, all subsequent commands will also need to be rerun. The way you had it, if you changed any files in the ./src directory, then when you build the pip install command would also be run again. However by changing it how I mentioned, the pip install will be cached and only get rerun if you change the requirements.txt In this example it wasn't a big deal, but if your project has a huge number of dependencies then this can save a lot of time during the build process.

Wow, this was a great intro video! I heard about the Docker x100 times, but never knew what was its purpose. Now I understand the whole concept. Thanks!

intro over at 7:50

so simple... I had thought that to put your web app to docker is much harde. Thanks for your explanation

Thanks! Was learning Python and now a bonus with Docker!

Great content, Thanks a lot !

Thanks for This man 🙏 Happy New Year 2026 and keep them coming 💪🔥

thank you. defo easy to follow and understand, finally..

Super helpful! First time using Dockers and thank you so much for your amazing videos and they are great tutorials

Beautiful Thanks man