👋 extra-collections (or extra for short) is a python3 pacakge that provides a pythonic, intuitive, and easy implementation of the most common data structures used in software projects. Some of these data structures are simple such as stack or queue; and some are much complicated such as skip_list or red_black_tree.

🧐 The name of the pacakge was inspired by the collections python package which provides simple implementations for some of the basic data structures. "extra" provides an additional set of data structures, hence the name.. "extra-collections".

🤯 extra-collections, in its first release, provides 20 different data structures each performs different functionality in a very fast and optimized way. Its aim is to make working with these complicated data structres as simple as dealing with a simple linked list which makes things easier to use for everyone espcially if they're starting their journey into coding.

📒 extra-collections provides API documentations to quickly understand and use those data structures on any given task. At the same time, I did my best to make these python modules as consistent as they could be. So dealing with the most complicated data structrue will as easy as the easiest one.

🤫 extra-collection was originally developed as a way to teach myself how to code and there were no intentions to release it at all. But after spending more than 18 months playing with different data structres, I've found out that I've implemented 16 different data-structures. Just then, I decided to push it to 20 data structures and release it. Why 20 you ask? Because it is a nice round number 😁.

🤤 The first version of extra-collection was releases on 20/10/2020. I wanted to release it on 20/20/2020 but my brother told me there are only 12 months in a year. I didn't believe him, but he sweared.

To install the current release (Ubuntu, Windows, Mac):

pip install extra-collections

To update extra-collections to the latest version, add --upgrade flag to the above commands.

In this release, you can find 2️⃣0️⃣ data structures that can be categorized into two categories:

• 1️⃣ Linked List
• 2️⃣ Doubly Linked List
• 3️⃣ Circular Linked List
• 4️⃣ Stack
• 5️⃣ Queue
• 6️⃣ Deque
• 7️⃣ Priority Queue
• 8️⃣ Skip List

• 9️⃣ Tree
• 1️⃣0️⃣ Binary Tree
• 1️⃣1️⃣ Binary Search Tree
• 1️⃣2️⃣ AVL Tree
• 1️⃣3️⃣ Splay Tree
• 1️⃣4️⃣ Red-Black Tree
• 1️⃣5️⃣ Min Heap
• 1️⃣6️⃣ Max Heap
• 1️⃣7️⃣ Treap
• 1️⃣8️⃣ Trie
• 1️⃣9️⃣ Radix Trie
• 2️⃣0️⃣ Suffix Trie

First, you need to enable the python shell:

$ python

To immediately use a data strucutre, you can import it directly from the package and start using it right-away. The following code uses a bst:

>>> from extra import BST
>>> bst = BST([8, 5, 2, 7, 15, 10, 3])
>>> bst
      __8___
     /      \
  __5       _15
 /   \     /
2     7   10
 \
  3
>>> bst.insert(30)
>>> bst
      __8___
     /      \
  __5       _15
 /   \     /   \
2     7   10    30
 \
  3
>>> bst.remove(3)
>>> bst
      __8___
     /      \
  __5       _15
 /   \     /   \
2     7   10    30
>>> len(bst)
7

If you want to contribute to extra-collections, be sure to review the contribution guidelines. By participating, you are expected to uphold this code.

This project uses GitHub issues for tracking requests and bugs, questions and even discussion. Please, if you have any question, direct it to Stack Overflow under

Here, I will walk you through some of the design principles that I followed while creating this package:

• Can't create nested modules.
• Replace '\n' with '\\n' when seen as an input value.
• None can't be used as an input value. (Could be changed in future releases).
• Class constructors can be used for initialization as well as declaration.
• Methods with no _ are for public use. The other are not; unless you know what you're doing.
• All public methods must raise appropriate errors when needed. The Other methods must raise only AssertionError when needed.
• Search/remove methods shouldn't raise any errors.
• Insert/delete/get-index/delete-index/set-index methods must raise errors when needed.
• All methods should return the data stored not the used objects.
• Any module can be emptied except for the SuffixTrie.

The following are the main resources that helped me while working on this awesome project:

• Introduction to Algorithms Course (MIT 6.046J/18.410J).
• "Data Structures and Algorithms in Python" book.
• GeeksforGeeks Forum.