Tuples

Question 1

What is a Tuple

Answer 1

• A tuple is an immutable sequence of Python objects
• Tuples are also comparable and hashable

ex: t= (‘a’,’b’,’c’,’d’)

time complexity: 0(1)
space complexity O(n)

Question 2

how do we access elements in tuples

Answer 2

tuples can be accessed with brackets: []
ex: myTuple[2] or myTuple[-2]
The - int looks from the end of the tuple.

Question 3

How are tuples saved in memory

Answer 3

Tuples are saved in memory continuously

Question 4

How do you access a portion of a tuple

Answer 4

you can access a portion with slicing the data
ex: myTuple[1:3]
the index three is not included. 1 and 2 are.

Question 5

How to traverse tuple

Answer 5

Use a for loop
ex: for i in myTuple:
print(i)
or

for i in range(len(newTuple)):
print(newTuple[i)

time complexity is O(n)

Question 6

How do you check if an element is in a tuple?

Answer 6

you can use the in operator to test if a value is in the.
ex: ‘x’ in myTuple

Question 7

Different ways to search for a element in tuple

Answer 7

You can search with a looping function.

Question 8

how do you concatenate tuples together.

Answer 8

you can use the + button to combine tuple
newTuple = tuple1 + tuple2

Question 9

How to repeat the values in a tuple?

Answer 9

• opreator
  ex myTuple * 2: this will take the values and repeat them once.

Question 10

how to count how many times a value is in a tuple

Answer 10

count method
myTuple.count(‘a’)

Question 11

How to find the index of a value in a tuple

Answer 11

find method
ex myTuple.index(4) this will find the first index in the tuple.

Question 12

what function turns a list into a tuple

Answer 12

tuple()
ex: tuple([1,2,3,4)

Question 13

When to use tuples and not lists

Answer 13

1. tuples are not multiple
2. Iterating rhrough a tuple is faster than with list
   3 Tuples that contain immutable elements can be used as a key for a distonary
3. if you have data that doesn’t change, implementing it as tuple will guarantee that it remains write-protected
4. Generaly use tuples for heterogeneous (different) data types and lists for homogeneous (similar) data types.