Talks - Evan Kohilas: Python ate my Homework!

Python and SymPy can help automate tedious mathematical calculations while showing clear working steps

Using Jupyter notebooks allows presenting mathematical solutions with LaTeX formatting and step-by-step explanations

The approach helps prevent human errors in calculations while still demonstrating understanding through code implementation

SymPy features highlighted:

• Symbolic mathematics manipulation
• Equation solving
• Derivative calculations
• Plotting capabilities
• Factor calculation
• LaTeX output formatting

Benefits of this approach:

• Easily update numbers/variables to solve similar problems
• Verify work through automated checking
• Export solutions in clean, readable formats
• Show detailed working steps through code

Limitations to consider:

• Teachers may not accept pure code solutions
• Over-reliance could impact learning fundamentals
• May not be allowed in exam settings
• Converting handwritten work to code takes effort

Best used as a learning tool to understand concepts while automating repetitive calculations

Important to balance automated solutions with understanding the underlying mathematical principles

Can help bridge the gap between computer science and mathematics education

Useful for verifying manual calculations and catching potential errors