Difference Between Python 2 and Python 3
Python is one of the computer languages that has advanced technology to a completely new level. The general-purpose programming language have found use in a wide range of industries, including software engineering, data science, natural language processing, and artificial intelligence.
Python 2 and Python 3 were the two principal iterations of Python that were released to the public. It's astonishing that there are noticeable changes between the two despite the fact that they are only two versions of same computer language, and it would be quite interesting to compare Python 2 and Python 3 in this regard. The question of which of the two forms is preferable to use has been the subject of considerable discussion in the past.
In the year 2000, Python 2.0 was released to the tech community. Python 2 was developed by BeOpen Python Labs team with the intention of making programming approachable and straightforward for the general public.
The Python Enhancement Proposal's technical specifics were successfully implemented in Python 2. (PEP). The year 2020 signalled the end of Python 2's history, with Python 2.7 as its most recent version. However, after the release of Python 3, Python 2 struggled to find a lot of its utilisation in the computer industry.
Python 3 was not merely a debugged version of Python 2 when it was released in 2008. The primary motivation for Python's creation was to eliminate redundancy, or the practise of writing the same piece of code repeatedly, from the development process. Python 3 is backward inconsistent and tries to solve the issues that novice programmers encounter when learning a new language.
Different Versions of Python
There were numerous explanations for why different Python versions were available. First off, a significant amount of industrial code had previously been developed in Python 2, making a full migration from Python 2 to Python 3 a time-consuming and challenging task.
Python 2 and Python 3 knowledge was also necessary in order to deal with configuration management technologies like puppet or ansible. However, Python 3 has evolved over time to be appropriate for a wide range of industries, including web development, data research, analytics scripting, etc.
Python 3 can be readily integrated with some other languages and includes a large number of powerful libraries. Consequently, it is simple to understand why both version of Python is necessary. In the end, work was done to make Python 3 support many of the key features that Python 2 offered, and then in 2020, Python 2 was phased out.
Example Code for Python 2 and Python 3
Now that we are clear on the distinctions between Python 2 and Python 3, let's examine some sample code for printing a statement in each of these versions:
Which Python Version Is Better is undoubtedly one of the most obvious queries that must cross everyone's mind after reading this post up until this point. Python version 2 or 3? Well, if we've been paying attention up to this point, it seems quite obvious what the solution to this question is. Without a doubt, Python 3 is the successful version.
First off, Python 2 has been discontinued since 2020 since Python 3 seemed to be the safest option, especially for aspiring programmers who are not really sure what programming specialisation they wanted to follow. Python 3 is unquestionably more readable, understandable, and well-liked than Python 2. Python 2 has unquestionably peaked, thus one should only study it if there is legacy Python 2 code still in existence or if a company requires a developer to move Python 2 code to Python 3.
The image below demonstrates the evident trends in how Python 2 has gradually lost programmers' attention over time and also how Python 3 has emerged victorious in the competition between Python 2 and Python 3. Therefore, we can confidently state that Python 3 will be the undisputed champion as of 2021 in the debate about which Python edition is best.
As a result, we would like to state that Python is one of the languages that is in the highest demand right now because it is widely utilised in a variety of fields.
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