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sc-claude-code-files

https-deeplearning-ai/sc-claude-code-files on GitHub: Jupyter Notebook, Tutorials, Tool-specific tutorials, Agent-ready APIs, Education, Prompt engineering, Retrieval.

TutorialsTool-specific tutorialsJupyter Notebook
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Created 2025-08-05 · Updated 2026-10-13 · #17099 today
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https-deeplearning-ai/sc-claude-code-files is ranked 17,099 with 556 stars.

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https-deeplearning-ai/sc-claude-code-files is ranked 17,099 among these 8 peers; maykulkarni/Machine-Learning-Notebooks is ranked 17,101.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJupyter Notebook
CategoryTutorials
SubcategoryTool-specific tutorials
KeywordsAgent-ready APIs, Education, Prompt engineering, Retrieval
Stars556
Forks860
Contributors2
Created date2025-08-05
Updated date2026-10-13
Stars in 1 day0
Stars in 7 days2
Rank17,099
Previous rank16,891
Rank change-208
7-day stars rank8,827
Previous 7-day stars rank8,877
7-day stars rank change50
Total stars rank17,829
Previous total stars rank17,799
Total stars rank change-30
CountryUSA
README summary

Claude Code: A Highly Agentic Coding Assistant Other DeepLearning Resources :mortar_board: **Keep learning** → Explore all DeepLearning. :computer: **Explore more course artifacts** → Browse the DeepLearning. AI course artifacts repo to find notebooks, projects, and notes from other courses across the DeepLearning. About this repository This repository contains the resources and links of the short course "Claude Code: A highly Agentic Coding Assistant". Course Overview The course teaches Claude Code best practices through 3 practical examples: **RAG chatbot codebase** (Lessons 2

-6) **Ecommerce data analysis** (Lesson 7) **Figma design mockup implementation** (Lesson 8) Course Structure **Lesson 1**: What is Claude Code? **Lesson 2**: Setup & Codebase Understanding **Lesson 3**: Adding Features **Lesson 4**: Testing, Error Debugging and Code Refactoring **Lesson 5**: Adding Multiple Features Simultaneously **Lesson 6**: Exploring Github Integration & Hooks **Lesson 7**: Refactoring a Jupyter Notebook & Creating a Dashboard **Lesson 8**: Creating Web App based on a Figma Mockup What's Included **Reading Notes** ( ) - Detailed notes for each lesson including prompts used

and feature summaries **Lesson 7 Files** ( ) - Complete ecommerce data analysis example with: **Additional Resources** ( ) - Supplementary materials including the visualization generated in lesson 1 and the figma binary file of the mockup used in lesson 8. **Course Repository Links** ( ) - Links to course repositories used in lessons 3-6 and lesson 8 Resources Claude Code Documentation Claude Code Common Workflows Claude Code Best Practices Claude Code Use Cases Claude Code in Action - Anthropic Academy Course

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https-deeplearning-ai/sc-claude-code-files has 556 stars and 860 forks.

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https-deeplearning-ai/sc-claude-code-files is ranked 17,099.

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https-deeplearning-ai/sc-claude-code-files has 556 stars, uses Jupyter Notebook and belongs to Tutorials.

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https-deeplearning-ai/sc-claude-code-files is compared with maykulkarni/Machine-Learning-Notebooks, ranked 17,101 with 556 stars.

README

Claude Code: A Highly Agentic Coding Assistant

Other DeepLearning Resources

:mortar_board: Keep learning → Explore all DeepLearning.AI courses — taught by the people building the future of AI. Find your next one.

:computer: Explore more course artifacts → Browse the DeepLearning.AI course artifacts repo to find notebooks, projects, and notes from other courses across the DeepLearning.AI library.

About this repository

This repository contains the resources and links of the short course "Claude Code: A highly Agentic Coding Assistant".

Course Overview

The course teaches Claude Code best practices through 3 practical examples:

  • RAG chatbot codebase (Lessons 2-6)
  • Ecommerce data analysis (Lesson 7)
  • Figma design mockup implementation (Lesson 8)

Course Structure

  • Lesson 1: What is Claude Code?
  • Lesson 2: Setup & Codebase Understanding
  • Lesson 3: Adding Features
  • Lesson 4: Testing, Error Debugging and Code Refactoring
  • Lesson 5: Adding Multiple Features Simultaneously
  • Lesson 6: Exploring Github Integration & Hooks
  • Lesson 7: Refactoring a Jupyter Notebook & Creating a Dashboard
  • Lesson 8: Creating Web App based on a Figma Mockup

What's Included

  • Reading Notes (reading_notes/) - Detailed notes for each lesson including prompts used and feature summaries
  • Lesson 7 Files (lesson7_files/) - Complete ecommerce data analysis example with:
    • Jupyter notebooks (original and refactored)
    • Python modules for data loading, business metrics, and dashboard
    • Sample ecommerce datasets
  • Additional Resources (additional_files/) - Supplementary materials including the visualization generated in lesson 1 and the figma binary file of the mockup used in lesson 8.
  • Course Repository Links (links_to_course_repos.md) - Links to course repositories used in lessons 3-6 and lesson 8

Resources

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