Python Optimization and Problem Solving for the Informatics State Exam (ЕГЭ)

Preparing for the Informatics State Exam (ЕГЭ) requires more than just writing code that works—it requires writing code that runs within time and memory limits. Many students lose points because their solutions are too slow or inefficient for large datasets. This text-based course helps you transition from basic programming to writing optimized, exam-ready Python scripts. You will learn how to analyze problem requirements, recognize when optimization is necessary, and apply structured techniques to speed up your code. What you'll learn: - Understand foundational algorithmic complexity and how to identify slow code before running it - Apply efficient data structures like sets, dictionaries, and generators to minimize memory usage - Optimize loops, recursion, and search algorithms commonly found in exam tasks - Implement modern Python features and built-in functions to write clean, fast, and readable code - Analyze exam-style problems to determine whether they require optimization or a simple direct approach - Practice step-by-step code refactoring to systematically eliminate bottlenecks The course starts with the core concepts of execution time, memory limits, and basic algorithm analysis. From there, you will read through practical examples of common exam tasks, comparing slow solutions with optimized versions to understand the underlying mechanics of fast code. This course is designed for high school students and beginners preparing for the Informatics State Exam (ЕГЭ) who already know basic Python syntax and want to secure high scores by mastering code efficiency. No advanced computer science background is required. Start reading today to build the structured programming skills needed to ace your exam.