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Python 2 contre Python 3

Consultez les differences entre Python 2 et Python 3 dans un tableau structure, puis poursuivez avec des questions d entretien, des quiz et des comparaisons similaires.

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Python 2 vs Python 3 - A key comparison and difference of the topics or subjects that will help you understand which is best for your use case. Check out to compare Python 3 and Python 2 as very common job interview questions.

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Difference entre Python 2 et Python 3

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Python 2 Interview Online Test	Python 3 Interview Online Test
Year of Release: 2000	Year of Release: 2008
In Python 2, print is considered to be a statement and not a function.	In Python 3, print is considered to be a function and not a statement.
In Python 2, strings are stored as ASCII by default.	In Python 3, strings are stored as UNICODE by default.
On the division of two integers, we get an integral value in Python 2. For instance, 7/2 yields 3 in Python 2.	On the division of two integers, we get a floating-point value in Python 3. For instance, 7/2 yields 3.5 in Python 3.
In Python 2, exceptions are enclosed in notations.	In Python 3, exceptions are enclosed in parentheses.
The values of global variables do change in Python 2 if they are used inside a for-loop.	The value of variables never changes in Python 3.
In Python 2, the xrange() function has been defined for iterations.	In Python 3, the new Range() function was introduced to perform iterations.
Python 2 has more complicated syntax than Python 3.	Python 3 has an easier syntax compared to Python 2.
A lot of libraries of Python 2 are not forward compatible.	A lot of libraries are created in Python 3 to be strictly used with Python 3.
Python 2 is no longer in use since 2020.	Python 3 is more popular than Python 2 and is still in use in today’s times.
Python 2 codes can be ported to Python 3 with a lot of effort.	Python 3 is not backward compatible with Python 2.
Python 2 was mostly used to become a DevOps Engineer. It is no longer in use after 2020.	Python 3 is used in a lot of fields like Software Engineering, Data Science, etc.

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