- Elements in a list do not require to be of the same type.
- It can be a mixture of elements like numbers, strings, other lists and so on.
- Allows duplicate members.
- Lists can have sublists as elements. These sublists may contain more sublists as well
a = [1, 2.2, ‘python’, [a,b,c]]
- Lists can be updated while program is running, whereas in C programming language, the size of an array has to be fixed at compile time.
- To declare a list, Items separated by commas are enclosed within brackets [ ].
- List is an ordered sequence of items.
- The elements can be accessed via indices using slicing operator i.e. 
- Index starts form 0 in Python. The index must be an integer. We can’t use float or other types, this will result into TypeError.
- Python allows negative indexing for its sequences.
- The index of -1 refers to the last item, -2 to the second last item and so on.
- Lists are mutable, meaning, value of elements of a list can be altered.
- We can use assignment operator (=) to change an item or a range of items.
- We can add one item to a list using append() method or add several items using extend() method.
- We can also use + operator to combine two lists. This is also called concatenation.
a = [1, 3, 5]
print(a + [9, 7, 5]) # Output: [1, 3, 5, 9, 7, 5]
- We can insert one item at a desired location by using the method insert() or insert multiple items by squeezing it into an empty slice of a list.
a = [1, 9]
Python List Methods:
- Methods that are available with list object in Python programming are listed below.
- They are accessed as list.method().
- List comprehension is an elegant and concise way to create a new list from an existing list in Python.
- List comprehension consists of an expression followed by for statement inside square brackets.
- Here is an example to make a list with each item being increasing power of 2.
- Above code is equivalent to
power_2 = 
for x in range(10):
power_2.append(2 ** x)
- A list comprehension can optionally contain more for/if statements as nested loops.
Other List Operations in Python:
- List Membership Test:
- We can test if an item exists in a list or not, using the keyword in.
- Iterating Through a List:
- Using a for loop we can iterate though each item in a list.
for fruit in [‘apple’,’banana’,’mango’]:
Built-in functions with List:
Apply a particular function passed in argument to all elements in list, stores the intermediate result and only returns the final summation value
Sums up the numbers in the list
Returns an integer representing the Unicode code point of the given Unicode character
Compares lists. If first list is “greater” than second list, returns 1
return maximum element in given list
return minimum element in given list