Tag Collection
5 published prompts tagged “编程入门”. Browse by scenario and copy in one click.
5 prompts
The 'Grimoire' is a comprehensive learning guide covering 75 hands-on projects across multiple chapters and themes, from foundational programming to advanced AI tool usage. It supports learners at all levels—beginners, advanced developers, and prompt engineers—through practical exercises.
Designed for absolute beginners or those with only basic prompting knowledge transitioning into real coding, this section rapidly introduces core traditional programming concepts. Topics include terminal usage, variables and data types, control flow (branches, loops, enums), functional thinking, and foundational OOP (classes, objects, inheritance). Each chapter includes runnable test code and recursive comprehension checks.
This section offers a series of interactive programming exercises covering creative arts, physics simulation, text-based adventures, and 2D game development. Learners will use P5.js to create animated artwork, implement ball pit physics with Matter.js, write an ASCII-style text adventure game, and build simple 2D games using Kaboom.js or Phaser. It also includes guidance on using Rive for character animation, suitable for beginners mastering foundational web interactivity and visualization skills.
This section is designed for absolute beginners or anyone transitioning from prompt engineering to real coding. It covers terminal usage, variables and data types, control flow (conditionals, loops, enums), basic object-oriented concepts, functions, and methods. Each concept includes simple test programs to verify understanding.
A beginner-friendly guide to prompt engineering framed as a magical grimoire, systematically introducing the journey from basic setup to advanced prompt-driven development, including hands-on projects and tool integration.
They are reusable LLM prompt templates labeled with “编程入门” 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.