What are the different data types in Python?

Python Datatypes:

• Boolean
• Numbers
• Strings
• Lists
• Tuples
• Sets
• Dictionaries

Boolean:

• Booleans are either true or false.
• Python has 2 constants named True and False which can be used to assign a boolean value directly.
• In certain places ( like if statements ), Python expects an expression to a boolean value, these places are called boolean contexts.

Numbers:

• Python supports both int and floating point numbers.

Tuples:

• A tuple is an immutable list, it means a tuple can't be changed in a way once it's created.
• A tuple is defined in the same way as a list, except that the whole set of an element is enclosed in the parenthesis instead of square brackets.
• Similarities with the list :
• Tuples have a defined order i.e. Indices are 0 based, so the first element of a non-empty tuple is always a_tuple[ 0 ].
• Negative indices count from the end of the tuple.
• Slicing works too, when we slice a list we get a new list. When we slice a tuple, we get a new tuple.
• The difference with lists:
• Tuple can't be changed. In technical terms, tuples are immutable in practical terms, tuples have no methods that would allow to change them. List have methods like append() , extend(), insert() , remove() and pop().
• Tuples are faster than lists. In CPython, tuples are stored in a single block of memory, so creating a new tuple involves at worst a single call to allocate memory. Lists are allocated in two blocks: the fixed one with all the Python object information and a variable sized block for the data. That's part of the reason why creating a tuple is faster, but it probably also explains the slight difference in indexing speed as there is one fewer pointer to follow.
• Tuples make code safer since they are "write-protect".

Sets :

• A set is an unordered "bag" of unique values.
• A single set can contain values of any immutable datatype.
• Once we have two sets, we can do standard operations like union, intersection and set difference.