thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1964
}
Dictionaries are used to store data values in key:value pairs.
A dictionary is a collection which is ordered*, changeable and do not allow duplicates.
As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered.
Python has a set of built-in methods that you can use on sets.
| Method | Shortcut | Description |
|---|---|---|
| add() | Adds an element to the set | |
| clear() | Removes all the elements from the set | |
| copy() | Returns a copy of the set | |
| difference() | |
Returns a set containing the difference between two or more sets |
| difference_update() | |
Removes the items in this set that are also included in another, specified set |
| discard() | Remove the specified item | |
| intersection() | |
Returns a set, that is the intersection of two other sets |
| intersection_update() | |
Removes the items in this set that are not present in other, specified set(s) |
| isdisjoint() | Returns whether two sets have a intersection or not | |
| issubset() | |
Returns whether another set contains this set or not |
| issubset() | |
Returns whether all items in this set is present in other, specified set(s) |
| issuperset() | |
Returns whether this set contains another set or not |
|
Returns whether all items in other, specified set(s) is present in this set | |
| pop() | Removes an element from the set | |
| remove() | Removes the specified element | |
| symmetric_difference() | |
Returns a set with the symmetric differences of two sets |
| symmetric_difference_update() | |
Inserts the symmetric differences from this set and another |
| union() | |
Return a set containing the union of sets |
| update() | |
Update the set with the union of this set and others |
There are several ways to join two or more sets in Python.
The union() and update() methods joins all items from both sets.
The intersection() method keeps ONLY the duplicates.
The difference() method keeps the items from the first set that are not in the other set(s).
The symmetric_difference() method keeps all items EXCEPT the duplicates. Continue reading Python – Join Sets
You can loop through the set items by using a for loop:
Loop through the set, and print the values:
thisset = {"apple", "banana", "cherry"}
for x in thisset:
print(x)
To remove an item in a set, use the remove(), or the discard() method.
Remove “banana” by using the remove() method:
thisset = {"apple", "banana", "cherry"}
thisset.remove("banana")
print(thisset)
Note: If the item to remove does not exist, remove() will raise an error.
Once a set is created, you cannot change its items, but you can add new items.
To add one item to a set use the add() method.
Add an item to a set, using the add() method:
thisset = {"apple", "banana", "cherry"}
thisset.add("orange")
print(thisset)
You cannot access items in a set by referring to an index or a key.
But you can loop through the set items using a for loop, or ask if a specified value is present in a set, by using the in keyword. Continue reading Python – Access Set Items
myset = {"apple", "banana", "cherry"}
Sets are used to store multiple items in a single variable.
Set is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Tuple, and Dictionary, all with different qualities and usage.
A set is a collection which is unordered, unchangeable*, and unindexed.
* Note: Set items are unchangeable, but you can remove items and add new items.
Sets are written with curly brackets. Continue reading Python Sets
Python has two built-in methods that you can use on tuples. Continue reading Python – Tuple Methods
To join two or more tuples you can use the + operator:
Join two tuples:
tuple1 = ("a", "b" , "c")
tuple2 = (1, 2, 3)
tuple3 = tuple1 + tuple2
print(tuple3)