![]() ![]() More than these general improvements, Python 3 introduced the asyncio module in 3.4 release, which enables asynchronous programming. Python 3 has improved on many CPython implementations over time, moved, and re-implemented standard library capabilities in C, giving a significant performance boost to standard utilities. For most applications, a few millisecond difference in startup time wouldn’t matter. You’ll realize that Python 3.7 and 3.8 are fastest yet for almost all operations except for startup time than Python 2.7. This graph lists some everyday application operations on different Python versions. ![]() Here’s a screenshot from, which is an official performance benchmarking tool for Python. We’ll discuss type annotations in detail in the next section. This, in turn, increases developer velocity. Including them into your code makes it self-documenting, easy to understand, and modify. These type hints are entirely optional, i.e., they do not enforce static type checking and are ignored at runtime. 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 for Python’s popularity is that it is easy to learn and write. That said, here are two critical reasons why an investment in migration could be productive for you - Developer Productivity The manual piece is why it is good to understand unit test coverage so you can identify the input and expected output from a function and refactor it with assurance. Tools and packages cannot fully automate the process one has to intervene at some places manually. Moreover, the migration process isn’t very straightforward, especially for the bigger code-bases where no single person has the context of all the parts of the 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 considerable 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. Why invest in upgrading from Python 2 to 3?
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