Python 2 vs. Python 3 Explained in Simple Terms

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Python 2 vs. Python 3 Explained in Simple Terms

Python is a high level, versatile, object-oriented programming language. Python is simple and easy to learn while also being powerful and highly effective. These advantages make it suitable for programmers of all backgrounds, and Python has become one of the most widely used languages across a variety of fields.

Python differs from most other programming languages in that two incompatible versions, Python 2 and Python 3, are both widely used. This article presents a brief overview of a few of the differences between Python 2 and Python 3 and is primarily aimed at a less-technical audience.

Python 2 (aka Python 2.x)

The second version of Python, Python 2.0, arrived in 2000. Upon its launch, Python introduced many new features that improved upon the previous version. Notably, it included support for Unicode and added garbage collection for better memory management. The Python Foundation also introduced changes in the way the language itself was developed; the development process became more open and included input from the community.

Python 2.7 is the latest (and final) Python 2 release. One feature included in this version is the Ordered Dictionary. The Ordered Dictionary enables the user to create dictionaries in an ordered manner, i.e., they remember the order in which their elements are inserted, and therefore it is possible to print the elements in that order. Another feature of Python 2.x is set literals. Previously, one had to create a set from another type, such as a list, resulting in slower and more cumbersome code.

While these are some prominent features that were included with Python 2.7, there are other features in this release. For instance, Input/Output modules, which are used to write to text files in Python, are faster than before. All the aforementioned features are also present in Python 3.1 and later versions.

Python 3 (aka Python 3.x)

Even though Python 2.x had matured considerably, many issues remained. The print statement was complicated to use and did not behave like Python functions, resulting in more code in comparison to other programming languages. In addition, Python strings were not Unicode by default, which meant that programmers needed to invoke functions to convert strings to Unicode (and back) when manipulating non-ASCII characters (i.e., characters which are not represented on the QWERTY keyboard).

Python 3, which was launched in 2008, was created to solve these problems and bring Python into the modern world. Nine years in, let’s consider how the adoption of Python 3 (which is currently at version 3.6) has fared against the latest Python 2.x release.

The most notable change in Python 3 is that print is now a function rather than a statement, as it was in Python 2. Since print is now a function, it is more versatile than it was in Python 2. This was perhaps the most radical change in the entire Python 3.0 release, and as a result, ruffled the most feathers. Users are now required to write print() instead of print, and programmers naturally object to having to type two additional characters and learn a new syntax. To be fair, the print() function is now able to write to external text files, something which was not possible before, and there are others advantages of it now being a function.

You might think that print becoming a function is a small change and having to type two more characters is not a big issue. But it is one of multiple changes that make Python 3 incompatible with Python 2. The problem of compatibility becomes complicated by the fact that organizations and developers may in fact have large amounts of Python 2 code that needs to be converted to Python 3.

Python 3.6 adds to these changes by allowing optional underscores in numeric literals for better readability (e.g., 1_000_000 vs. 1000000), and in addition extends Python’s functionality for multitasking. (Note that the new features which appear in each successive version of Python 3 are not “backported” to Python 2.7, and as a result, Python 3 will continue to diverge from Python 2 in terms of functionality.)

Should You Care?

It depends. If you are a professional developer who already works with Python, you should consider moving to Python 3 if you haven’t already. In order to make the transition easier, Python 3 includes a tool called 2to3 which is used to transform Python 2 code to Python 3. 2to3 will prove helpful to organizations which are already invested in Python 2.x, as it will help them convert their Python 2 code base to Python 3 as smoothly as possible.

If you are just starting out with Python, your best strategy is to embrace Python 3, although you should be aware that it is incompatible with Python 2, as you may encounter Python 2 code on websites such as stackoverflow and perhaps at your current (or future) workplace.


The overall consideration in 2017 whether to use Python 3 or Python 2 depends on the intended use. Python 2.7 will be supported till 2020 with the latest packages. According to, which measures how many popular libraries are compatible with Python 3, 345 out of 360 libraries support Python 3. This number will continue to grow in the future as support for 2.7 drops. While Python 2.7 is sufficient for now, Python 3 is definitely the future of the language and is here to stay.

Takeaway: Python 2 is still widely used. Python 3 introduced several features that were not backward compatible with Python 2. It took a while for some popular libraries to support Python 3, but most major libraries now support Python 3, and support for Python 2 will eventually be phased out. Python 2 is still here in 2017 but is gradually on the way out.