Advanced-Data-Structures-with-Python
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Python implementations of Advanced Data Structures and Algorithms. With each code, there is an associated markdown for explanation and applications of that algorithm or data structure.
Advanced Data Structures with Python
This repository contains Data structures, Algorithms and their common usecases implemented by me in python. This repository is really helpful for those, who prefer to do competitive programming in python.
Contents:
Click on "Code" to see code of that data structure or algorithm, and click on "Learn" to read markdown.
Algorithms-
- Dijkstra's Shortest Path Algorithm (Python) Code
- Kahn's Algorithm for Topological Sort Code Learn
- Depth First Search | Java_Code | Python_Code
- Floyd Warshall Algorithm Code Learn
- Longest Common Subsequence (Java) Code
- Longest Common Substring (Java) Code
- Array rotation reversal method Code
- Pattern Searching KMP(Knuth Morris Pratt) algorithm Code
Data Structures-
- Trie Data Structure Code Learn
- Segment Tree (For sum) | Java_Code | Python_Code)
- Union Find Data Structures (Disjoint Set Data Structure) Code Learn
- Binary Search Tree Code
Learning Python ( the pythonic way)
Lambdas
lambda arguments : expression
List Comprehensions
number_list = [ x for x in range(20) if x % 2 == 0]
Class
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
p1 = Person("John", 36)
print(p1.name)
print(p1.age)
Map
map(function_object, iterable1, iterable2,...)
filter
filter(function_object, iterable)
Python Tricks
Input Space Separated Integers as List
numbers = list(map(int, input().split()))
Resources to Learn Python
Books, Videos and Lecture Notes available in are available here - Learning Resources
Some Other Resources
- Real Python
- Python Jumpstart by Building 10 Apps
- Learn Python the Hard Way
- Code Academy: Learn Python
- Code School: Learn Python
- Python for Entrepreneurs
- Intro to Python for Data Science
- Automate the Boring Stuff with Python
- Learn Python, it's Cake
- BONUS: Practical Python and OpenCV
Contributing
This repository is open to contribution. Contributors are mentioned here:
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
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