Python – Removing Items from a Set
Once a Python set is created, you cannot change its items, but you can remove items using the remove(), discard(), pop(), and clear() methods, and the del keyword.
Python – Looping Through a Set
Python set items can be accessed by looping through them using a for loop.
Python – Joining Two or More Sets
Python sets can be joined (combined) using the union(), update(), intersection(), difference(), and symmetric_difference() methods.
Python – Accessing Items in a Dictionary
Items in a Python dictionary can be accessed by referring to its key name using several methods.
Python – Changing Items in a Dictionary
Items in a Python dictionary can be changed by referring to its key name or using the update() method.
Python – Adding Items to a Dictionary
Adding an item to a Python dictionary is done by using a new index key and assigning a value to it.
Python – Removing Items from a Dictionary
There are multiple ways to remove items from a Python dictionary: the pop(), popitem(), and clear() methods, as well as the del keyword.
Python – Looping Through a Dictionary
Python dictionary items can be accessed by looping through them using a for loop.
Python – Copying a Dictionary
Python dictionaries can be copied using the copy() method or the dict() function.
Python – Working with Nested Dictionaries
A Python dictionary that contains other dictionaries as items is called a nested dictionary, and can be accessed just like a regular dictionary.
Python – Using Conditions and If Statements
Python supports the usual logical conditions which can be used in several ways, most commonly in various “if statement” types and loops.
Python – Using While Loops
Python uses the while loop to execute a set of statements as long as a condition is true.
Python – Using For Loops
In Python, a for loop is used for iterating over a sequence (list, tuple, dictionary, set, or string).