GitHub - superdba111/DataStructure

Algorithm + Data Structure = software programming (simply saying)

There are all data structures available on Python.org

Examples for red black tree, see this pages https://pypi.org/project/bintrees/2.0.1/

You can import packages and call the data structures in your code

Here are just for practices on data structure concepts

In order to coding well, think about the following, 1. Efficiency. 2. Memory space, 3 Bug free with a complete testing cases

make your code as genetic and lazy computing as possible 5. readable--write good comments 6. reuse code/cache, any code shouldn't repeated 7. wisely use decorator as much as possible

Name		Name	Last commit message	Last commit date
Latest commit History 175 Commits
dataStructure		dataStructure
leetcode		leetcode
smallProject		smallProject
sorting		sorting
01_single_linked_list.py		01_single_linked_list.py
02_list.py		02_list.py
02_single_cycle_link_list.py		02_single_cycle_link_list.py
03_double_link_list.py		03_double_link_list.py
04_stack.py		04_stack.py
05_queue.py		05_queue.py
06_double_queue.py		06_double_queue.py
1-Leecode-EasySet12.ipynb		1-Leecode-EasySet12.ipynb
13_binary_search.py		13_binary_search.py
14_tree.py		14_tree.py
16_heapq.py		16_heapq.py
2-leecode-easyset6.ipynb		2-leecode-easyset6.ipynb
3-Leetcode-easyset6.ipynb		3-Leetcode-easyset6.ipynb
4-leecode-easyset6.ipynb		4-leecode-easyset6.ipynb
5-leetcode-easyset7.ipynb		5-leetcode-easyset7.ipynb
6-leetcode-easyset6.ipynb		6-leetcode-easyset6.ipynb
README.md		README.md
avl1.py		avl1.py
bellmanford.py		bellmanford.py
checkLeapYear.py		checkLeapYear.py
dijkstra.py		dijkstra.py
graph.ipynb		graph.ipynb