Python Data Structures
Tuples
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Tuples are an ordered sequence
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Here is a Tuple “Ratings”
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Tuples are written as comma-separated elements within parentheses
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Tuples concatenation is possible
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Tuple slicing is also possible
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Tuples are immutable
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If one want to manipulate tuples, they have to create a new tuple with the desired values
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Tuples nesting (tuple containing another tuple) is also possible
Ratings = (10, 9, 6, 5, 10, 8, 9, 6, 2)
Lists
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Lists are also ordered in sequence
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Here is a List “L”
L = ["Michael Jackson", 10.1, 1982] -
A List is represented with square brackets
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List is mutable
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List can nest other lists and tuples
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We can combine lists
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List can be extended with
extend()method -
append()adds only one element to the List, if we appendL.append([1,2,3,4]), the List “L” will be:L = ["Michael Jackson", 10.1, 1982,[1,2,3,4]] -
The method
split()can convert the string into the List"Hello, World!".split() -
The
split()can be used with a delimiter we would like to split on as an argument"A,B,C,D".split(",") -
Multiple names referring to the same object is known as aliasing
- We can clone the list, where both lists will be of their independent copies
- So changing List “A”, will not change List “B”
Dictionaries
- Dictionaries are denoted with curly Brackets {}
- The keys have to be immutable and unique
- The values can be immutable, mutable and duplicates
- Each key and value pair is separated by a comma
Sets
- Sets are a type of collection
- This means that like lists and tuples you can input different python types
- Unlike lists and tuples they are unordered
- This means sets don’t record element position
- Sets only have unique elements
- This means there is only one of a particular element in a set
Sets: Creating a Set
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You can convert a list into set
List = ['foo'] set(List) -
To add elements to the set,
set.add('foo') -
To remove an element,
set.remove(‘foo’) -
To check if an element is present in the set:
'foo' in set True/False
Sets: Mathematical Expression
- To find the intersection of the sets elements present in the both sets),
set1 & set2orset1.intersection(set2)
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Union of the sets, contain elements of both the sets combined,
set1.union(set2) -
To find the difference of sets:
#set1 difference from set2 set1.difference(set2) #set2 difference from set 1 set2.difference(set1)
- To find is a set is a subset/superset (have all the elements of other set), `set1.issubset/issuperset(set2)












