Python is one of the most well-known programming languages of this decade. The consistently developing programming language is especially hailed for its general usefulness. Python can be utilized for web development, automation testing, web scraping, hacking, and so on. Particularly right now that there is a spike in the number of information researchers with python, the language has a lot of beginners now like never before.
On the off chance that you are hoping to begin your excursion in python, one of the choices you should make is to decide whether to learn Python 2 vs Python 3. Here, you will figure out the difference between python 2 and 3 partners. Towards the finish of this article, you will comprehend which version to learn and how to learn python step by step.
Python 2.0 was first introduced in the year 2000 by a group called BeOpen Python Lab. Before that time, Python was overseen by Rossum who did most of part in the troubleshooting and highlighting changes. Rossum maintained that Python should be available for all and assist with delivering more developers. It was with this worldview that the Python Lab’s group birthed Python 2.0 and made it open source.
Since then, different forms of Python 2 have been delivered and the last being Python 2.7. It was anyway declared that there would be no further updates or upgrades to Python 2 beginning in the year 2020.
History of Python 2
Python 2.0 was delivered on 16th October 2000
Python 2.1 was delivered on 15th April 2001
Python 2.2 was delivered on 21st December 2001
Python 2.3 was delivered on 29th June 2003
Python 2.4 was delivered on 30th November 2004
Python 2.5 was delivered on 19th September 2006
Python 2.6 was delivered on 1st October 2008
Python 2.7 was delivered on 3rd July 2010
Why you might require Python 2.0
Although this version of Python is getting obsolete, you might, in any case, have to become familiar with the language for one of these reasons.
In certain organizations, where their code was composed with Python 2 and might not have been refreshed to Python 3.
In the event that you are working with configuration management tools, for example, Ansible and puppet as a DevOps engineer, you might be expected to work with both Python 2 and Python 3.
On the off chance that you are working on a project with a group, a portion of your dependencies or third-party modules may not be viable with Python 3 right now.
The primary form of Python 3, Python 3.0 was delivered in the year 2008. However, this update was to some degree unique in relation to the typical updates that come from troubleshooting in past Python forms. Python 3.0 accompanied a few sharp changes in the coding style and furthermore had forward compatibility. This implies that it would just support different versions that are delivered after it.
The syntax of Python 3 managed the issue of code redundancy and reiteration, where a code can do a similar task in different ways. Presently in Python 3, there is one most-reasonable approach to completing an errand. This solitary change ended up being very useful for amateurs that are hoping to find their balance recorded as hard copies of python codes.
History of Python 3
Python 3.0 was delivered on 3rd December 2008
Python 3.1 was delivered on 27th June 2009
Python 3.2 was delivered on 20th February 2011
Python 3.3 was delivered on 29th September 2012
Python 3.4 was delivered on 16th March 2014
Python 3.5 was delivered on 13th September 2015
Python 3.6 was delivered on 23rd December 2016
Python 3.7 was delivered on 27th June 2018
Python 3.8 was delivered on 14th October 2019
Python 3.9 was delivered on 5th October 2020
The Key changes in Python 3
In python 2, the print was a statement, while in Python 3, it has been changed to a built-in function. For instance, the code print ‘Hi World’ is presently different to print(‘Hello World’). In Python 2.6 and 2.7 in any case, the built-in print function exists yet must be imported unequivocally by utilizing the articulation from the future import print function.
In python 3, the input function acts like the raw input function of Python 2 to such an extent that it returns a string without assessing the expression passed as an argument.
The whole number division in Python 3 returns a float in circumstances where the outcome is definitely not an entire number. In Python 2, the division of numbers returns a whole number regardless of the case. For example, 5/2 returns 2 in Python 2 while it returns 2.5 in Python 3.
In Python 3, the str and Unicode types are brought together for addressing text-based information. There exist another changeless sort called the bytes type and the byte array type which are both used to address arrays of beetles.
In Python 3, the values of local variables stay unaltered. This isn’t true in that frame of mind as the upsides of local variables change in a loop.
In Python 2, the Xrange function is utilized to perform iterations while in Python 3, the reach function is utilized.
Special cases in Python 2 are encased in syntax in Python 2 while they are encased in parenthesis
The backward compatibility feature was removed in Python 3 which implies you might find it painful to move from python 3 to python 2.
Last Verdict – To pick between the two Python 2 vs Python 3?
Obviously, Python 3 is the right variant to utilize today. With the absence of additional improvement in Python 2 from 2020, a ton of organizations and Python structures are attempting to make their frameworks viable with Python 3. See the Google Trend report that shows how Python 3 is being looked at regarding Python 2
Python 2 vs Python 3: Which would be more beneficial for me to learn in 2022?
Python 2 is blurring bit by bit and will totally fail away before very long. It is shrewd to go with the most recent pattern and what is popular. The possible motivation to learn Python 2 would be in the event that a task request requires explicit information in Python 2. However, that would seldom be the situation.
In the event that you don’t know, simply stay with Python 3. And in the fight of Python 2 vs Python 3 always go for reliable online platforms that will ensure a good course and an easy way of learning the course. AttainU is the right answer for how to learn python language at home for free
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