codebasics/data-structures-algorithms-python
Data Structures Algorithms Python
This project is an educational resource providing a structured curriculum for mastering fundamental computer science concepts, algorithmic logic, and data structure implementation using Python. It serves as a comprehensive tutorial for understanding how to organize information effectively and solve complex computational challenges through systematic programming techniques.
The repository focuses on the practical application of core data structures, including arrays, linked lists, hash tables, stacks, queues, and trees. It emphasizes the development of algorithmic problem-solving skills by covering standard methods for sorting collections and searching for specific elements, alongside techniques for analyzing the time and space complexity of code.
Beyond basic implementation, the material addresses foundational computational concepts such as recursive logic, iterative traversal, and memory management. These resources are designed to support technical preparation for software engineering interviews by providing exercises that demonstrate how to build efficient data systems and optimize performance for scalable applications. The content is delivered through a series of Jupyter Notebooks that combine theoretical explanations with practical coding examples.
