Day 4 Guide: Mastering Python Tuples

Introduction:

Welcome to Day 4 of my Python journey! Today, I explored the fascinating world of data structures in Python, specifically TUPLES. These data types are crucial for storing and manipulating complex data.

Tuple data type / Tuple class / Tuple data structure

BASIC :

. Tuple() is predefined class.

. len() is used to get length of tuple class.

. >>> help (tuple) is used to get manual about tuple class.

. Tuple elements can be represent with (), each element can be divide with comma( , )

. Tuple is collection of both similar and dissimilar type of elements .

. Tuple supports duplicate elements.

. Tuple object return value inside tuple class .

. Tuple is a linear data structure, because it follow item insert order .

. Tuple is a iterable object.

. Tuple store the element as per the insertion order.

. Tuple is an ordered data structure.

. TUPLE OBJECT DOES NOT SUPPORT ITEM ASSIGNMENT or ITEM DELETION.

. we can not modify a tuple object in future .

. tuple object is an immutable object in python.

. how to create the object of tuple class →

obj = tuple ()

print ( obj , type ( obj ))

obj = tuple ( (10, 20, 30) )

print ( obj , type ( obj ))

obj = ( 10, 20, 30, 40 )

print ( obj , type ( obj ))

# SPECIAL

obj = 10, 20, 30, 40, 50

print ( obj , type ( obj ))

# class tuple

obj = ( 10 )

print ( obj , type ( obj )) # class int

obj = ( 10 ,20 )

print ( obj , type ( obj )) # class tuple

INDEXING :

. to target individual element we can use index mechanism with tuple object

. to provide index with tuple object we have to use subscript operator []

syntax : tupleObj [ index ]

. by using index we can perform only read operation with tuple object

. by using index we can not perform write / update and delete operation with tuple object.

. +ve index 0 to len - 1

. -ve index is also supported with tuple object.

. -ve index -len to -1

OPERATORS :

all the operators available in python is not going to supported with tuple object .

some limited operators are going to supported with tuple object.

ARITHMATIC :

+ merging

* repetition .

RELATIONAL :

< > <= >= == !=

MEMBERSHIP

in not in

returns bool type object ( True / False )

SLICING

REGULAR SLICING

[ startIndex : stopIndex ]

EXTENDED SLICING

[ startIndex : stopIndex : stepIndex ]

# arithmetic

obj1 = ( 10, 20 )

obj2 = ( 30, 40, 50 )

obj = obj1 + obj2

print ( obj , type ( obj ))

print ( obj * 3 )

# relational

obj1 = ( 1, 2, 4, 3 )

obj2 = ( 1 ,2, 3, 5 )

print ( obj1 < obj2 )

# membership

print ( 11 in ( 11, 22, 33 ))

obj = ( 10, 20, 30, 40, 50 )

print ( obj [ 1 : 4 ] )

print ( obj [ 1 : 4 : 2 ])

FUNCTIONS :

. len ( )

. max ()

. min ()

. sum ()

. sorted ()

print ( len ( obj ))

print ( max ( obj ))

print ( min ( obj ))

print ( sum ( obj ))

print ( sorted ( obj ))

print ( sorted ( obj , reverse = True ))

METHODS :

. count method

count ()

. index method

index ()

.obj = ( 10, 20, 30, 40, 50, 10, 100, 200 )

print ( 'counting 10 in my object : ', obj . count ( 10 ))

print ( 'FIRST OCCURANCE index of 10 in my object : ', obj . index ( 10 ))

print ( 'IN BETWEEN 1 T0 6 index of 10 in my object : ', obj . index ( 10, 1, 6 ))

Resources:

1. Official Python Documentation: Data Structures

2. W3Schools' Python Tutorial: Tuples

3. Scaler's Python Course: Data Structures

Goals for Tomorrow:

1. Explore Dictionary.

2. Learn about Dictionary input/output.

Conclusion:

Day 4 was a blast! Tuple is now under my belt.

What are your favorite data structures in Python? Share in the comments below.

Connect with me:

LinkedIn: [ https://www.linkedin.com/in/archana-prusty-4aa0b827a/ ]

GitHub: [ https://github.com/p-archana1 ]

Join the conversation:

Share your own learning experiences or ask questions in the comments.

Next Post:

Day 5: discuss on DICTONARY.

Happy Learning!!