Including them into your code makes it self-documenting, easy to understand and modify. They do not enforce static type checking and are completely ignored at runtime. These type hints are completely optional i.e. Let’s check out an example.ĭef get_category_id_from_cities(name: str, cities_map: dict) -> int: This can become complicated as your code scales. It is dynamically typed and doesn’t enforce strict type checking. One of the big reasons of Python’s popularity is that it is easy to learn and write code in. That being said, here are two important reasons to why an investment in migration could be productive for you - Developer Productivity This is where having good understanding and unit test coverage helps, so that you can identify the input and expected output from a function and refactor it with assurance. It cannot be fully automated through tools or packages, one has to manually intervene at some places. Moreover, the migration process isn’t very straightforward, specially for the bigger code-bases where no single person has context of all the parts of software. Python 2.7 was an LTS(long term support) release of Python so most of the users didn’t have to worry about porting their code every 18 months which could be a huge investment. I think that it resolves a lot of inconsistencies” - Glyph Lefkowitz, founder of Twisted - a popular networking engine written in Python “I think Python 3 is actually is a better programming language than Python 2 was. Some learning and gotchas involved in the process through the migration stories of Instagram, Dropbox and Facebook which are running Python 3 on the scale of a billion users.Automated tools to help migrate - 2to3, Python-Future and Modernize with examples.Concrete steps and strategies you could follow if you were to migrate a huge code-base running on Python 2.New and lucrative features of Python 3 which can take performance and developer productivity significantly up.Why you should care about the migration to Python 3?.If that is not enough motivation or you have too much in place for Python 2.7 in your code, read on. If you’re still running on legacy python, it’s high time to migrate as it reaches end of it’s life from Jan 2020. While Python 3 has been out for more than a decade now, but there wasn’t much incentive to migrate from the stable Python 2.7 in the earlier releases. Adoption of Python 3 has been a subject of debate in the Python community for long. Python powers many applications we use day-to-day like Reddit, Instagram, Dropbox, Spotify and so on.
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