A stack is a linear data structure that stores items in a Last-In/First-Out (LIFO) or First-In/Last-Out (FILO) manner. In stack, a new element is added at one end and an element is removed from that end only. The insert and delete operations are often called
The functions associated with stack are:
- empty() – Returns whether the stack is empty – Time Complexity : O(1)
- size() – Returns the size of the stack – Time Complexity : O(1)
- top() – Returns a reference to the top most element of the stack – Time Complexity : O(1)
- push(g) – Adds the element ‘g’ at the top of the stack – Time Complexity : O(1)
- pop() – Deletes the top most element of the stack – Time Complexity : O(1)
There are various ways from which a stack can be implemented in Python. This article covers the implementation of stack using data structures and modules from Python library.
Stack in Python can be implemented using following ways:
Implementation using list
Python’s buil-in data structure
list can be used as a stack. Instead of
push(), append() is used to add elements to the top of stack while
pop() removes the element in LIFO order.
Unfortunately, list has a few shortcomings. The biggest issue is that it can run into speed issue as it grows. The items in list are stored next to each other in memory, if the stack grows bigger than the block of memory that currently hold it, then Python needs to do some memory allocations. This can lead to some
append() calls taking much longer than other ones.
Initial stack ['a', 'b', 'c'] Elements poped from stack: c b a Stack after elements are poped: 
Traceback (most recent call last): File "/home/2426bc32be6a59881fde0eec91247623.py", line 25, in <module> print(stack.pop()) IndexError: pop from empty list
Implementation using collections.deque
Python stack can be implemented using
deque class from collections module. Deque is preferred over list in the cases where we need quicker append and pop operations from both the ends of the container, as deque provides an O(1) time complexity for append and pop operations as compared to list which provides O(n) time complexity.
Same methods on deque as seen in list are used,
Initial stack: deque(['a', 'b', 'c']) Elements poped from stack: c b a Stack after elements are poped: deque()
Traceback (most recent call last): File "/home/97171a8f6fead6988ea96f86e4b01c32.py", line 29, in <module> print(stack.pop()) IndexError: pop from an empty deque
Implemenation using queue module
Queue module also has a LIFO Queue, which is basically a Stack. Data is inserted into Queue using
put() function and
get() takes data out from the Queue.
There are various functions available in this module:
- maxsize – Number of items allowed in the queue.
- empty() – Return True if the queue is empty, False otherwise.
- full() – Return True if there are maxsize items in the queue. If the queue was initialized with maxsize=0 (the default), then full() never returns True.
- get() – Remove and return an item from the queue. If queue is empty, wait until an item is available.
- get_nowait() – Return an item if one is immediately available, else raise QueueEmpty.
- put(item) – Put an item into the queue. If the queue is full, wait until a free slot is available before adding the item.
- put_nowait(item) – Put an item into the queue without blocking.
- qsize() – Return the number of items in the queue. If no free slot is immediately available, raise QueueFull.
0 Full: True Size: 3 Elements poped from the stack c b a Empty: True
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Improved By : nidhi_biet