Python Algorithms and Data Structures: Practical Exercises

Developing a strong grasp of data structures and algorithms is essential for writing clean, efficient, and scalable code. This written course provides a structured introduction to core computer science concepts using clear, modern Python. You will build practical problem-solving skills by working through foundational logic, step-by-step code analysis, and targeted exercises. What you will learn: Understand essential data structures such as lists, stacks, queues, hash maps, and linked nodes. Implement fundamental searching and sorting algorithms from scratch. Evaluate algorithm efficiency using basic Big O notation and time complexity principles. Write readable, modern code using Python type hints and robust structure. Practice algorithmic reasoning through written coding challenges. Verify code logic using foundational unit testing principles with pytest concepts. The course begins with clear definitions of key terms and basic syntax rules before moving through structured logic breakdowns and practical code exercises. Designed for beginners and introductory computer science students, this material requires no advanced prior experience. Start reading today to strengthen your foundational programming skills in Python.