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implementation of different algorithms and data structures from scratch. Great learning resource for students and professionals to improve their skills on algorithms and data structures

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adithbharadwaj/algorithms-and-data-structures

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Description:

Implementation of various algorithms and data structures using c/c++, Python from scratch. This is a learning resource for students and professionals to improve their algorithms and data structure skills. It is also a good resource for coding interviews as questions on these algorithms and data structures are common in these interviews.

CONTRIBUTING:

Contributions are welcome. Choose an algorithm or data structure, not in the repository and submit a pull request.

data_structures:

This folder contains implementation of the basic data structures such as trees (BST), Linked lists, stack, queue, etc. in C/C++ and Python.

sorting_algorithms:

This folder contains popular sorting algorithms and their time complexities.

graph_algorithms:

This folder contains standard algorithms on graphs. here, I've used an adjacency list representation of graphs using dedfaultdict(list) in python.

dynamic_programming:

This folder contains common and popular dynamic programming algorithms such as knapsack, lcs, lis, kadane, etc.

backtracking_algorithms:

This folder contains backtracking based algorithms such as n-queens, etc.

advanced_data_structures:

This folder contains implementations of advanced data structures such as Tries, Segment Trees, etc.

miscellaneous_algorithms:

This folder contains miscellaneous algorithms commonly asked in coding interviews. These algorithms also help in competitive coding.

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implementation of different algorithms and data structures from scratch. Great learning resource for students and professionals to improve their skills on algorithms and data structures

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