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+# Intermediate Quantitative Economics with Python - Lecture Materials
+
+**Always reference these instructions first and fallback to search or bash commands only when you encounter unexpected information that does not match the info here.**
+
+## Working Effectively
+
+### Bootstrap and Build the Repository
+Execute these commands in order to set up a complete working environment:
+
+**NEVER CANCEL: Each step has specific timing expectations - wait for completion.**
+
+```bash
+# 1. Set up conda environment (takes ~3 minutes)
+conda env create -f environment.yml
+# NEVER CANCEL: Wait 3-5 minutes for completion
+
+# 2. Activate environment (required for all subsequent commands)
+source /usr/share/miniconda/etc/profile.d/conda.sh
+conda activate quantecon
+
+# 3. Install PyTorch with CUDA support (takes ~3 minutes)
+pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
+# NEVER CANCEL: Wait 3-5 minutes for completion
+
+# 4. Install Pyro (takes ~10 seconds)
+pip install pyro-ppl
+
+# 5. Install JAX with CUDA support (takes ~30 seconds)
+pip install --upgrade "jax[cuda12-local]==0.6.2"
+
+# 6. Install NumPyro (takes ~5 seconds)
+pip install numpyro
+
+# 7. Test JAX installation (takes ~5 seconds)
+python scripts/test-jax-install.py
+```
+
+### Build Commands
+
+**CRITICAL TIMING WARNING: NEVER CANCEL BUILD COMMANDS - They take 45+ minutes to complete.**
+
+```bash
+# HTML build (primary build target) - takes 45-60 minutes
+jb build lectures --path-output ./ -W --keep-going
+# NEVER CANCEL: Set timeout to 90+ minutes. Executes 80+ notebooks sequentially.
+
+# PDF build via LaTeX - takes 30-45 minutes  
+jb build lectures --builder pdflatex --path-output ./ -n -W --keep-going
+# NEVER CANCEL: Set timeout to 75+ minutes.
+
+# Jupyter notebook build - takes 30-45 minutes
+jb build lectures --path-output ./ --builder=custom --custom-builder=jupyter -n -W --keep-going
+# NEVER CANCEL: Set timeout to 75+ minutes.
+```
+
+### Environment and Dependency Details
+
+- **Python**: 3.12 with Anaconda 2024.10
+- **Primary Framework**: Jupyter Book 1.0.3 with MyST markdown
+- **Scientific Computing**: JAX 0.6.2, PyTorch (nightly), NumPyro, SciPy
+- **Content Format**: MyST markdown files in `/lectures/` directory
+- **Build System**: Sphinx-based via Jupyter Book
+- **Execution**: Notebooks are executed during build and cached
+
+### Validation Scenarios
+
+**Always run these validation steps after making changes:**
+
+1. **Environment Test**: `python scripts/test-jax-install.py` - verifies JAX/scientific stack
+2. **Build Test**: Start HTML build and verify first few notebooks execute successfully
+3. **Content Verification**: Check `_build/html/` directory contains expected output files
+4. **Notebook Validation**: Verify generated notebooks in `_build/jupyter/` are executable
+
+### Known Limitations and Workarounds
+
+- **Network Access**: Intersphinx inventory warnings for external sites (intro.quantecon.org, python-advanced.quantecon.org) are expected in sandboxed environments - build continues normally
+- **GPU Support**: JAX runs in CPU mode in most environments - this is expected and functional
+- **Build Cache**: Uses `_build/.jupyter_cache` to avoid re-executing unchanged notebooks
+- **Memory Usage**: Large notebooks may require substantial RAM during execution phase
+
+## Project Architecture
+
+### Key Directories
+```
+lectures/               # MyST markdown lecture files (80+ files)
+├── _config.yml        # Jupyter Book configuration
+├── _toc.yml          # Table of contents structure  
+├── _static/          # Static assets (images, CSS, etc.)
+└── *.md              # Individual lecture files
+
+_build/               # Build outputs (created during build)
+├── html/            # HTML website output
+├── latex/           # PDF build intermediate files  
+├── jupyter/         # Generated notebook files
+└── .jupyter_cache/  # Execution cache
+
+scripts/              # Utility scripts
+└── test-jax-install.py  # JAX installation validator
+
+.github/              # CI/CD workflows
+└── workflows/        # GitHub Actions definitions
+```
+
+### Content Structure
+- **80+ lecture files** covering intermediate quantitative economics
+- **MyST markdown format** with embedded Python code blocks
+- **Executable notebooks** - code is run during build process
+- **Multiple output formats**: HTML website, PDF via LaTeX, downloadable notebooks
+
+### Build Targets
+1. **HTML**: Main website at `_build/html/` - primary deliverable
+2. **PDF**: Single PDF document via LaTeX at `_build/latex/`
+3. **Notebooks**: Individual .ipynb files at `_build/jupyter/`
+
+## Development Workflow
+
+### Making Changes
+1. **Always activate environment first**: `conda activate quantecon`
+2. **Edit lecture files**: Modify `.md` files in `/lectures/` directory
+3. **Test changes**: Run quick build test on subset if possible
+4. **Full validation**: Complete HTML build to verify all notebooks execute
+5. **Check outputs**: Verify `_build/html/` contains expected results
+
+### Common Tasks
+
+**View repository structure:**
+```bash
+ls -la /home/runner/work/lecture-python.myst/lecture-python.myst/
+# Output: .git .github .gitignore README.md _notebook_repo environment.yml lectures scripts
+```
+
+**Check lecture content:**
+```bash
+ls lectures/ | head -10
+# Shows: intro.md, various economics topic files (.md format)
+```
+
+**Monitor build progress:**
+- Build shows progress as "reading sources... [X%] filename"
+- Each notebook execution time varies: 5-120 seconds per file
+- Total build time: 45-60 minutes for full HTML build
+
+**Environment verification:**
+```bash
+conda list | grep -E "(jax|torch|jupyter-book)"
+# Should show: jax 0.6.2, torch 2.9.0.dev, jupyter-book 1.0.3
+```
+
+## Troubleshooting
+
+### Common Issues
+- **"cuInit(0) failed"**: Expected JAX warning in CPU-only environments - build continues normally
+- **Intersphinx warnings**: Network inventory fetch failures are expected - build continues normally  
+- **Debugger warnings**: "frozen modules" warnings during notebook execution are normal
+- **Long execution times**: Some notebooks (like ar1_bayes.md) take 60+ seconds - this is normal
+
+### Performance Notes
+- **First build**: Takes longest due to fresh notebook execution
+- **Subsequent builds**: Faster due to caching system
+- **Cache location**: `_build/.jupyter_cache` stores execution results
+- **Cache invalidation**: Changes to notebook content triggers re-execution
+
+## CI/CD Integration
+
+The repository uses GitHub Actions with:
+- **Cache workflow**: Weekly rebuild of execution cache
+- **CI workflow**: Pull request validation builds
+- **Publish workflow**: Production deployment on tags
+
+**Local builds should match CI behavior** - use same commands and expect similar timing.
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