“The syntax in Python is the simplest!” – This is the most common response we get from Python users. NOT AT ALL!! 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, however, 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 percent of projects in 2016 were completed with Python 2. However, in 2017, this statistical value fell to 63.7 percent. The reason for this is that Python users have converted to Python 3 because it has a more simple syntax than Python 2.

Find all of this fascinating? Below is a quick overview of the differences between Python 2 and Python 3.


Top Python 2 and 3 statistics facts


Contents Table of Contents






Google trends show the difference between Python 2 and Python 3.




As you can see from the graph, Python 3 is more demanding than Python 2. Despite this, Python 2 continues to be popular among its users. Python 3’s popularity was declining by the end of 2020. It means that learning Python 2 is always preferable. There are also other reasons to learn this version:







Also see MATLAB vs. Octave: Everything You Need To Know




What is the main distinction between Python 2 and Python 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.


Differences between Python 2 and Python 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 have been developed by the Python 3 library developers, who have high standards.


Python 2 and 3 have Unicode support.


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.


Example 2 in Python:




Example of Python 3:




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() method.


In Python 3, there are two 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.


Differences in Print Statement Syntax in Python 2 and 3


Python 2’s print statement allows additional parameters. The arguments are separated by a blank line. In Python 3, the print function takes a number of parameters.


Example 2 in Python:


In this example, we’ll use the print statement with three parameters. It’s worth mentioning that Python 2 uses a space to separate the three parameters. Apart from that, the print statement is used, with the three parameters enclosed in round brackets. A three-element tuple is the outcome.




Example of Python 3:


In this example, we utilize the print function with three parameters to get the same result as in Example 3 with Python 2. When we want to display the tuple, we must wrap it in another pair of rounded brackets.




To get the same result in Python 2 as in Python 3, we can use the future directive to inform the compiler to use a feature available in a future release.




XRange: What’s the difference between Python 2 and Python 3?


Python 2 includes the range() and xrange() methods. The range() and xrange() functions, respectively, can return a list of integers and an object.


However, only the range() method is available in Python 3, and the xrange() function does not exist. There is no xrange() function because the range() method works similarly to the xrange() function in Python 2.


Range() and XRange() methods in Python 2 are demonstrated.


The range() method has a list with 5 entries because we passed ‘5’ as a parameter (as shown in the console image below). When we call xrange, we get an object instead of a string ().




Range() is a method in Python 3.


Passing ‘5’ as an argument to the range() method returns an object, as shown in the console screenshot below. When we try to use the xrange() method in Python 3, however, we find that it is undefined.




Python 2 had a number of procedures that returned lists. It was chosen in Python 3 to return iterable objects rather than lists. The following features are available:








In tabular form, the differences between Python 2 and 3


Python 2 Python 3 parameter


Date of Publication: 2000-2003


The syntax of Python 2 was a little more difficult to grasp.


In comparison to Python 2, the syntax is easier to understand.


print (“hello”) is a function that prints “hello.”


Integer division factor


You must always supply an integer value when dividing two numbers.


A float value is created when two integers are split.


Comparing rules in order


Comparing and ordering products has a lot of restrictions.


In this edition, the rules for ordering comparisons have been simplified.




The “u” keyword is required to preserve Unicode string values.


Python 3 stores strings in Unicode by default.


Leakage that varies


The value of the global variable will vary while in the for-loop.


The values of variables remain constant.


Library assistance


Many Python 2 libraries are not Python 3 compatible.


Many new Python programmers are creating libraries that are only compatible with Python 3.




The majority of notations prefer to encapsulate it.


Parentheses must be used to hide it.




xrange is used to iterate in Python 2. ().


The new Range() method now allows for iterations.


Which version of Python should you use?


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:






Also see R Programming: How to Perform Linear Regression.




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), some users may not be permitted to install from add-on sites or unprotected locations. Python 2 is also installed by default in a number of distributions.


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


Note: Python 2 will be EOL (“End of Life”) in January 2020, which means all official support will be discontinued.


Let’s wrap up the conversation!


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 utilize Python 2. Companies contemplating Python 3 for their staff should be aware of the syntax and behavior differences. This blog will use examples to demonstrate the differences between Python 2 and 3. And we believe we have done so successfully.