#    
## Overview
An **``array``** is a collection of multiple items, elements, or values of the same datatype in a single variable.

The **``typecode()`` function** is used to return the ``typecode`` character used to create the array. **``Typecodes``** are used for defining arrays in Python. The table below has some of the ``typecodes`` in Python. 
|Type code| C type| Python type| Minimum size in bytes|
|:---|---|---|---:|
|``'b'``|signed char|int|1|
|``'B'``|unsigned char|int|1|
|``'i'``|signed int|int|2|
|``'I'``|unsigned int| int|2|
|``'f'``|float|float|4|
|``'b'``|double|float|8|

## Parameter value
The ``typecode()`` function takes no parameter value.

## Return value
The ``typecode()`` function returns the ``typecode`` character used to create a given array.
## Example


# importing the array module
import array as arr

# creating an integer data type array
x = arr.array('i', [1,2,3,4,5,6,7])

# using the typecode funtion to ccheck for the array's typecode
print(x.typecode)



From the output of the code above, the **``i``** simply means that the array we created is an integer type.

What is the array typecode function in Python?

The typecode() function in Python arrays returns the character representing the data type used to create the array.

Type code	C type	Python type	Minimum size in bytes
`'b'`	signed char	int	1
`'B'`	unsigned char	int	1
`'i'`	signed int	int	2
`'I'`	unsigned int	int	2
`'f'`	float	float	4
`'b'`	double	float	8