Python Variables
Python variables are containers for storing values. The type of variables can be declared before using them. Once we assign a value to a variable, it becomes a variable. There is no static typing in Python.
Python Variable Creation
There is no command for declaring a variable in Python when we speak about variables.
In the below example we have created a variable in Python.
It is unnecessary to make variables of a specific type, and they can even switch types once they have been assigned.
Casting:
Casting in Python variables allows you to specify the data type of a variable.
Python Variable Types
In data types, data items are classified or categorized. In other words, it indicates what operations can be performed on a particular data set. A Python variable is an instance (object) of a class, since everything is an object in Python programming.
The following are Python’s standard data types:
Numeric.
Sequence Type.
Boolean.
Set.
Dictionary.
The next section of this tutorial will go into more detail about data types and casting.
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October 28, 2022
Python Variables: What are they?
mrexamples.com/python/python-variables
This post aims to assist the reader with a detailed analysis of Python variables through
examples.
Python Variables
Python variables are containers for storing values. The type of variables can be declared
before using them. Once we assign a value to a variable, it becomes a variable. There is no
static typing in Python.
Python Variable Creation
There is no command for declaring a variable in Python when we speak about variables.
In the below example we have created a variable in Python.
Execute
Example
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x = 8
y = "Elon Musk"
print(x)
print(y)
It is unnecessary to make variables of a specific type, and they can even switch types once
they have been assigned.
Execute
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Example
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mr = 8 # mr is of type int
ex = "Sally" # ex is now of type str
print(ex)
Casting:
Casting in Python variables allows you to specify the data type of a variable.
Example:
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a = str(3) # a will occur '3'
b = int(3) # b will occur 3
c = float(3) # c will occur 3.0
print(a)
print(b)
print(c)
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Determine the type
Using the type() function, you can determine a variable’s data type.
Execute
Example
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a = 8
b = "Elon"
print(type(a))
print(type(b))
Python Variable Types
In data types, data items are classified or categorized. In other words, it indicates what
operations can be performed on a particular data set. A Python variable is an instance
(object) of a class, since everything is an object in Python programming.
The following are Python’s standard data types:
1. Numeric.
2. Sequence Type.
3. Boolean.
4. Set.
5. Dictionary.
The next section of this tutorial will go into more detail about data types and casting.
What is better, a single quote or a double quote?
Variables that are declared as strings can either be declared as single quotes or double
quotes. Both are the preferred ways:
Example:
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x = "Elon_Musk"
# Or
x = 'Elon_Musk'
print (x)
Case Sensitive:
As far as Python is concerned, variable names are case-sensitive.
This will create two variables:
Example:
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a = 4
A = "Sally"
#A has a value Sally and a has digit 4 – both are different variables.
print( a )
print( A )
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Python Output Variables
When outputting variables in Python, the print statement is often used.
Python uses the + character to combine text and variables:
The + character can also be used to add variables to another variable in Python:
The + character works as a mathematical operator for numbers:
Execute
Example
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a = 3
b = 7
print(a + b)
Python will give you an error message if you try to combine a string and a number:
Execute
Example
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a = 3
b = "Elon"
print(a + b)
Python variables should follow the following guidelines.
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1. You must begin a variable name with a letter or an underscore.
2. There can be no number at the beginning of a variable name.
3. In variable names, alpha-numeric characters and underscores (A-z, 0-9, and _) are
allowed.
4. elon_musk, Elon_Musk, and ELON_MUSK are three different variables (Python
variables are case-sensitive).
5. A variable cannot be named using reserved words (keywords).