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A 2022 Python Quick Guide: Difference Between Python 2 And 3


"Python's syntax is the simplest!" – This is the most common response we get from Python users. ISN'T THAT RIGHT? Python is, in fact, regarded as a beginner's programming language. It means that even someone who has never used Python before can quickly learn it. Are you, on the other hand, the one who uses Python 2? If you answered yes, then you should know that Python 3 has a more substantial and simpler syntax than Python 2.


Yes, you read that correctly. Apart from that, 71.9 per cent of projects in 2016 were completed with Python 2. However, in 2017, this statistical value fell to 63.7 per cent. The reason for this is due to the fact that Python users have converted to Python 3 because it has a more simple syntax than Python 2.


Do you find all of this fascinating? Below is a quick overview of the difference between Python 2 and 3.

What is the major difference between Python 2 and 3?

Because Python 2 and Python 3 have distinct names, some objects will need to be imported from several locations. As a result, the six compatibility package is useful for integrating Python 2 and Python 3 code in a single project.

Library: Difference between Python 2 and 3

In terms of libraries, Python 2 and Python 3 are vastly different. Many Python 2 libraries are no longer Python 3 compatible. The Machine Learning and Deep Learning libraries in Python 3 have been updated by the Python 3 library developers, who have high standards.

Unicode Support in Python 2 and 3

When you open a text file in Python 2, the open() function returns an ASCII text string. In Python 3, the identical open() function returns a Unicode string. Unicode strings can be used in more places than ASCII strings. In Python 2, you must attach a "u" to the end of an ASCII string in order to save it as Unicode.


In Python 2, there are two sorts of objects that can be used to represent a string. These are the strings ‘str’ and 'Unicode.' Unicode examples are 16 or 32-bit integers, whereas 'str' examples are byte representations. Unicode texts can be converted to byte strings using the encode() function.


In Python 3, there are two alternative sorts of objects that can be used to represent a string. Their terminologies are 'str' and 'bytes.' The'str' type in Python 2 adheres to the 'Unicode' type. You can now define a variable as 'str' and store a string in it without having to prefix it with a 'u' because it is the default. The 'bytes' type in Python 2 corresponds to the 'str' type.

Which Python version should you go with?

Based on your needs and what you want to accomplish, choose the version that will benefit you the most. That's excellent if Python 3. x helps you to accomplish your goals! However, there are some disadvantages to using the version, including:


  • The library's support is a little less good.

  • In many modern Linux distributions and Macs, 2. x is still the default.


However, as long as Python 3. x is installed on the customers' machines, it is an ideal choice.


Most Linux distributions come with Python 3. x pre-installed, and almost all of them make it available to end-users. While Python 3 is available in the EPEL repository on Red Hat Enterprise Linux (to version 7), certain users may not be able to install anything from unprotected sites or add-on sites. Python 2 is also installed by default in a number of distributions.


Tutors should introduce Python 3 to new programmers. They must also familiarise the pupils with the distinctions between Python 2 and Python 3.


Let’s sum up the discussion!

Python is a high-level, general-purpose programming language that can be interpreted and is very versatile. Since then, Python has grown in popularity, and it is now a popular choice for scripting and rapid application development.


A lot of older apps still utilise Python 2. Companies who want their staff to use Python 3 should be aware of the differences in syntax and behaviour. This blog will use examples to demonstrate the difference between Python 2 and 3. And we believe we have done so successfully. If you need Python assignment help, our professionals will supply you with the most up-to-date information at a very low cost.


Comments

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