Python Algorithms and Data Structures for Coding Interviews

Coding interviews and modern software development require a solid grasp of how data is stored and processed. If you want to move beyond writing basic scripts and start writing highly efficient programs, mastering fundamental algorithms is your next step. This text-only course guides you through the essential concepts of algorithmic thinking using Python. You will transition from writing brute-force solutions to designing elegant, optimized code, learning how to analyze and improve your program's performance. What you'll learn: - Understand Big O notation to analyze the time and space complexity of your Python code. - Implement and manipulate fundamental data structures including lists, dictionaries, and sets. - Apply efficient search techniques and optimization patterns like the two-pointer approach. - Master the sliding window technique to solve complex array and string problems. - Write clean, readable algorithmic code using modern Python type hints and best practices. - Practice solving common coding interview challenges through structured written exercises. The course starts with core terminology and complexity analysis, then moves to essential data structures, and finishes with practical algorithmic patterns. You will read clear explanations, analyze step-by-step code walkthroughs, and practice with written exercises. This course is designed for beginner Python developers who want to build a strong computer science foundation. No advanced mathematics or prior algorithm experience is required. Start reading today to write faster, more efficient Python code and level up your software engineering skills.