Porting Python 2.7 Code to Python 3.X
By: Lisa Plitnichenko
Tags: Python3, Python37, Python2, Python2 Vs Python3, Python Programming

Porting Python 2.7 Code to Python 3.X

Painless Migration Guide from Python 2.7 to Python 3.x for Python developers

Porting from Python 2.7 to Python 3.x

In December 2008, Python software foundation released version 3.0 introducing big changes to improve Python. As many people after the release did not want to upgrade their projects, the developers had been supporting both versions for some time not to hurt users’ feelings.

Although much time is given for code porting, many haven’t done it yet. Meanwhile, supporting two versions consumes much time & effort, preventing the developers from further Python 3.0 improvement.

That’s why the Python foundation decided to announce:

Users are urged to migrate to a supported version of Python 3 in order to benefit from its many improvements, as well as to avoid potential security vulnerabilities in Python 2.x after April 2020.

This is where the help of the professional Python developers & software architects could be required.

Reasons for Code Porting

Python 3.X offers a bunch of good options for developers & business runners:

Large community support.

Standard library improvements are available by default.

Simplified process of detecting and fixing the bugs.

Support of modern technologies: AI, big data, machine learning.

What will happen if I do not port the code?

If you or your vendor find a security problem in Python 2, nobody from the volunteers will help fix it, as this version is no longer supported. Except for the security issues, you won’t be able to use:

native support for asynchronous I/O (asyncio); new MRO; f strings syntax; @dataclasses; new packaging; assignment expressions; type annotations;

and other good Python 3 features!

How to Port Python 2 to Python 3

The biggest challenge impeding from effortless migration to Python 3.0 is a backward incompatibility with version 2.0. It means that the code Python 2.x will always return errors while running on Python 3.0. The dynamic Python standardization makes it difficult to mechanically migrate from Python 2 to Python 3.

What should be done when upgrading Python version:

1. Choose the strategy. Depending on your objectives, your vendor can help you pick up a custom strategy fitting for your project. Among the most common ones, it could be code rewriting, ending up with Python 2.0 version support and supporting Python 3.0 instead, or porting the project to Python 3.0 without adding new Python 2.0 features.

2. Understand the key difference between Python 2 and 3.

3. Audit the code. Any upgrade, modernization, or improvement is impossible without the code audit, as it helps the developers define the possible problems, bottlenecks, and re-build the system’s architecture to enhance the performance if required.

4. Ensure good test coverage. In a perfect world, every major step of code porting should be accompanied by unit tests to ensure the code complies with all its functions. Good test coverage allows detecting the problems directly on the stage of development that makes it easier to fix the bugs.

5. Use CI/CD concepts. Iterate releases ensured by the concepts of continuous integration & delivery help deliver a better code making the whole application work better.

6. Start using Python 3 in production.

7. Remove Python 2 compatibility code.

Bottom Line

The set of actions to port Python code from 2.0 to 3.0 is similar to the process of legacy modernization. The development team should proceed with caution according to a comprehensive plan and estimate the risks properly.

Porting the Python code is still a challenge impossible without a dedicated team of developers but the outcome is worth it in most cases.

Considering Python migration? It’s better to check with a technical partner having similar cases to decide on the value it brings (or doesn’t bring) to your business before taking steps towards updating your version of Python.