Reorganize table of contents structure

[jstac]

Summary

This PR reorganizes the table of contents structure to improve the logical flow and grouping of lecture content:

• Renamed "The Scientific Libraries" → "Foundations of Scientific Computing" to better reflect the core scientific computing libraries (NumPy, Matplotlib, SciPy)
• Created a new section "Working with Data" dedicated to Pandas content (pandas, pandas_panel)
• Renamed "Advanced Python Programming" → "More Python Programming" for a more approachable title
• Reorganized content placement by moving workspace and sympy to the "More Python Programming" section for better thematic grouping

The new structure provides clearer separation between foundational scientific computing tools, high-performance computing topics, data manipulation libraries, and general Python programming concepts.

🤖 Generated with Claude Code

[jstac]

Detailed Changes

The restructuring improves content organization as follows:

Before

• "The Scientific Libraries" section contained: NumPy, Matplotlib, SciPy, Pandas, pandas_panel, SymPy
• "Advanced Python Programming" contained only: writing_good_code, python_advanced_features, debugging

After

1. Foundations of Scientific Computing - Core libraries for numerical computing and visualization

   • NumPy, Matplotlib, SciPy

2. High Performance Computing - (unchanged)

   • Numba, Parallelization, JAX

3. Working with Data - New dedicated section for data manipulation

   • Pandas, pandas_panel

4. More Python Programming - Expanded section with practical Python topics

   • writing_good_code, workspace, SymPy, python_advanced_features, debugging

This organization creates a more intuitive learning path and better groups related topics together.

[github-actions]

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