jinkyoungheo/python3 repository overview

⁠docker run

⁠3.8-tf-flask

• Tensorflow & Keras installed.
• The flask application is running.

docker run -d -p 5000:5000 jinkyoungheo/python3:3.8-tf-flask

• If you ran it on the docker desktop in Windows, you can test it with 'http://localhost:5000⁠'.
• If you installed VMWare or VirtualBox and ran it on Linux, you can test it with 'http://linux-ip:5000⁠'.

⁠3.8-flask

• The flask application is running

docker run -d -p 5000:5000 jinkyoungheo/python3:3.8-flask

• If you ran it on the docker desktop in Windows, you can test it with 'http://localhost:5000⁠'.
• If you installed VMWare or VirtualBox and ran it on Linux, you can test it with 'http://linux-ip:5000⁠'.

⁠3.8

docker run -d -t jinkyoungheo/python3:3.8

• The tag of the official image has been changed to make it easier to find on docker desktops.
• Python 3.8 is installed.
• Use as a base image