We always monitor updates to the Python programming language and aim to keep our technologies up-to-date. When new stable versions of Python are released, we evaluate them for suitability and maturity before deciding to upgrade. One of the things that make upgrading easier is our use of Docker in our development process. Docker makes it easy to manage and isolate application environments. Upgrading to a new version of Python is a breeze. When it comes to migrating from older versions of Python to newer ones, we certainly offer assistance. The first step of the process is to replace any deprecated or outdated libraries that the application is using. Once that is complete, we upgrade the application to the newer version of Python. Throughout this process, we carefully test the application at each step to ensure that everything continues to function correctly.