The Greatest Computer Science Tutor
An AI-powered tutor based on curated college textbooks, enabling simultaneous theory and code learning with personalized, interactive instruction and advanced visualization support.
Tag Collection
3 published prompts tagged “算法”. Browse by scenario and copy in one click.
3 prompts
An AI-powered tutor based on curated college textbooks, enabling simultaneous theory and code learning with personalized, interactive instruction and advanced visualization support.
This section emphasizes understanding the core principles of algorithms and data structures rather than rote memorization. Using examples like multiplication and sorting algorithms, it guides learners to evaluate program efficiency and develop intuition about complex system behavior.
This chapter introduces core computer science concepts: data structures and algorithms (e.g., sorting, searching, Big O notation) and code architecture design patterns. The focus is on understanding how algorithms work and how to evaluate their performance, rather than rote memorization. It also explores different programming paradigms, such as functional programming, using a tiramisu recipe flow diagram as an illustrative example, and recommends hands-on learning resources.
They are reusable LLM prompt templates labeled with “算法” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.