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Modularity is essential for building large systems, as it allows us to break down complex problems into smaller, more manageable parts.
The goal of software engineering is to control complexity, not to create it.
In computer science, abstraction is the key to managing complexity.
The computing scientist's main challenge is not to get confused by the complexities of his own making.
The art of programming is the art of organizing complexity, of mastering multitude and avoiding its bastard chaos as effectively as possible.
The challenge in computer graphics is to simulate the complexity of the real world with the simplicity of mathematical models.
The brain is a complex system, and we are just beginning to understand how it works.
The art of programming is the art of organizing complexity, of mastering multitude and avoiding its bastard chaos as effectively as possible.
The art of simplicity is a puzzle of complexity.
A key insight in learning theory is that the complexity of a hypothesis class is crucial for generalization.
The beauty of mathematics is that it allows us to abstract away the complexities of the real world and focus on the underlying principles.
The intersection of cryptography and complexity theory is where some of the most fascinating problems in computer science reside.
The key to solving complex problems is to ask the right causal questions.
In software development, we must always be mindful of the trade-offs between performance, complexity, and maintainability.
Modularity is essential for building large, maintainable systems, as it allows us to break down complex problems into smaller, more manageable parts.
In software design, we should strive for simplicity and clarity, avoiding unnecessary complexity.
The key to managing complexity is to focus on the interfaces between components, not their implementations.
Understanding the fundamentals is key to mastering any complex system.
The beauty of computer science lies in its ability to solve complex problems through elegant and efficient algorithms.
In computer science, we often have to deal with systems that are too complex to understand all at once.