Overview
- Pandas will drop support for Python 2 from 1st January, 2019
- This comes after Python’s core team announced they will stop support for Python 2.7 from 2020 onwards
- Recent survey revealed almost 47% users are still using Python 2 so this will affect a large number of developers
Introduction
Pandas is one of the most common and popular python libraries out there. It provides fast and incredibly flexible data structures that make working with data really easy and straightforward. It’s essentially the first library you learn about when you start with Python.
Starting from 1st January 2019, pandas will no longer be supporting Python 2. This means that the final release before December 31st, 2018 will the last ever to support Python 2 and all releases post that will be for Python 3 only. This has been announced in line with python core team’s decision to drop support for Python 2.7 from 1st January, 2020 onwards.
Note here that pandas will NOT stop working – instead it will stop pushing out bug fixes, security enhancements and new features to the older version of Python. This will only be possible if someone outside the developer team volunteers to do it.
A recently conducted survey revealed that a massive 47% of users are still using Python 2 so they will have to switch over to the latest version very soon. A lot of other packages have also decided to drop their support for Python 2 recently, so this will just expedite the process.
You can read their official announcement on GitHub here.
Our take on this
The reaction to this announcement has been mixed on social media. While a few people argue that they shouldn’t be forced to upgrade their version, most folks understand the need for this change. By dropping support for Python 2, it becomes easier and more streamlined for developers and people maintaining the latest version. Another case to be made is that if the support isn’t removed, then users will not have a lot of incentive to upgrade.
But moving your scripts from Python 2 to 3 has seen the code break for a few people so be wary when you make the move. You can check out this link to learn more about porting your code from Python 2 to 3.
What are your thoughts on this? Will you be affected by this move?
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datascience22
17 Apr, 2018
