v0.3.0

Container Infrastructure Validated

Both containers have been validated against all 4 QuantEcon lecture repositories.

Added

• Lean Container (ghcr.io/quantecon/quantecon-build:latest)

  • Optimized for CI builds (~3GB vs ~8GB full container)
  • Miniconda + Python 3.13 + Jupyter Book tooling
  • XeLaTeX with essential packages

• Container Test Workflow - Automated validation after builds

• Lecture Validation Tests - Full builds against all 4 lecture repos (2×4 = 8 jobs matrix)

Changed

• setup-environment - Now container-aware

  • Auto-detects QuantEcon containers via /etc/quantecon-container marker
  • Skips redundant LaTeX installation when running in container

• Container Infrastructure

  • Chrome + kaleido for Plotly static image export
  • Intel MKL for optimized linear algebra (2-3x faster)
  • scikit-learn for ML lectures
  • DejaVu fonts for XeLaTeX compatibility

Validation Results

Repository	quantecon-build	quantecon
lecture-python-programming.myst	4.6 min	5.4 min
lecture-python-intro	11.5 min	13.4 min
lecture-python-advanced.myst	33.6 min	35.9 min
lecture-python.myst	60.0 min	60.0 min

All builds pass with zero Jupyter Book warnings.