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Python 2 VS Python 3:
Essential Features
for Modern
Development
Unicode Support
VS
Python 2 Python 3
In Python 2, strings are by
default ASCII-encoded, and
Unicode strings need to be
explicitly declared using
the u"string" syntax.
Python 3 natively supports
Unicode strings, allowing you to
work with text in different
languages and character sets
more easily.
Print Function
VS
Python 2 Python 3
In Python 2, print is a
statement and does not require
parentheses (e.g., print
"Hello").
In Python 3, print is a built-in
function, requiring parentheses
around the arguments
(e.g., print("Hello")). This change
aligns the print statement with
other function calls.
Division Operator
VS
Python 2 Python 3
In Python 2, dividing two
integers using the division
operator (/) truncates the result
to the nearest floor value,
resulting in an integer. To obtain
a float result, you need to use
the floor division operator (//).
In Python 3, the division operator
(/) always returns a float result,
even when dividing two integers.
This behavior helps avoid
unexpected results and improves
the accuracy of mathematical
operations.
Iteration & Looping
VS
Python 2 Python 3
In Python 2, the traditional
syntax for looping over iterable
objects is for x in
xrange(iterable).
Python 3 introduced a simplified
syntax for looping over iterable
objects using the for x in
iterable syntax. This syntax is
more concise and intuitive
compared to the traditional for x
in xrange(iterable) syntax in
Python 2.
Exception Handling
VS
Python 2 Python 3
Python 2 has limited exception
handling capabilities, lacking the
'as' keyword and the 'finally'
clause.
Python 3 improved the exception
handling syntax, making it more
consistent and intuitive. The 'as'
keyword allows capturing the
exception instance for further
processing, and the 'finally'
keyword ensures the execution of
cleanup code regardless of
whether an exception occurs.
VS
Type Hints
Python 2 Python 3
Python 2 does not have built-in
support for type hints, as they
were introduced in Python 3 to
enhance code readability and
maintainability.
Python 3 introduced type hints,
allowing developers to annotate
variables, function parameters,
and return types with type
information. These hints are
optional and can be used by static
type checkers and IDEs for
improved code analysis.
VS
f-strings
Python 2 Python 3
Python 2 lacks support for f-
strings and typically uses the
‘format()’ method or the %
operator for string formatting.
Python 3 introduced f-strings, a
concise and convenient way to
format strings. They allow
embedding expressions inside
string literals, enclosed by curly
braces '{}'.
Python 2 and Python 3
Navigating the Development Landscape
In today's rapidly evolving technological landscape,
understanding the differences between Python 2
and Python 3 is crucial for successful development
of applications. And this is why Python
Development Services have to always be prepared
for the latest and trending changes to the language
for better development.
info@nexsoftsys.com
www.nexsoftsys.com
Royal Square” Office
No. 110, Tagore Rd,
Rajkot – 360001
Gujarat, India
NEX SOFTSYS
Offshore Software Development Company
Head Office:
477 Madison Avenue,
6th floor
New York – 10022
USA
Branch Office:
Thank You

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Comparison between Python 2 and Python 3

  • 1. Python 2 VS Python 3: Essential Features for Modern Development
  • 2. Unicode Support VS Python 2 Python 3 In Python 2, strings are by default ASCII-encoded, and Unicode strings need to be explicitly declared using the u"string" syntax. Python 3 natively supports Unicode strings, allowing you to work with text in different languages and character sets more easily.
  • 3. Print Function VS Python 2 Python 3 In Python 2, print is a statement and does not require parentheses (e.g., print "Hello"). In Python 3, print is a built-in function, requiring parentheses around the arguments (e.g., print("Hello")). This change aligns the print statement with other function calls.
  • 4. Division Operator VS Python 2 Python 3 In Python 2, dividing two integers using the division operator (/) truncates the result to the nearest floor value, resulting in an integer. To obtain a float result, you need to use the floor division operator (//). In Python 3, the division operator (/) always returns a float result, even when dividing two integers. This behavior helps avoid unexpected results and improves the accuracy of mathematical operations.
  • 5. Iteration & Looping VS Python 2 Python 3 In Python 2, the traditional syntax for looping over iterable objects is for x in xrange(iterable). Python 3 introduced a simplified syntax for looping over iterable objects using the for x in iterable syntax. This syntax is more concise and intuitive compared to the traditional for x in xrange(iterable) syntax in Python 2.
  • 6. Exception Handling VS Python 2 Python 3 Python 2 has limited exception handling capabilities, lacking the 'as' keyword and the 'finally' clause. Python 3 improved the exception handling syntax, making it more consistent and intuitive. The 'as' keyword allows capturing the exception instance for further processing, and the 'finally' keyword ensures the execution of cleanup code regardless of whether an exception occurs.
  • 7. VS Type Hints Python 2 Python 3 Python 2 does not have built-in support for type hints, as they were introduced in Python 3 to enhance code readability and maintainability. Python 3 introduced type hints, allowing developers to annotate variables, function parameters, and return types with type information. These hints are optional and can be used by static type checkers and IDEs for improved code analysis.
  • 8. VS f-strings Python 2 Python 3 Python 2 lacks support for f- strings and typically uses the ‘format()’ method or the % operator for string formatting. Python 3 introduced f-strings, a concise and convenient way to format strings. They allow embedding expressions inside string literals, enclosed by curly braces '{}'.
  • 9. Python 2 and Python 3 Navigating the Development Landscape In today's rapidly evolving technological landscape, understanding the differences between Python 2 and Python 3 is crucial for successful development of applications. And this is why Python Development Services have to always be prepared for the latest and trending changes to the language for better development.
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