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Quantum Engineering Year 0: Mathematical Foundations Month 1Day 6

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Year 0·Month 1·Week 1

Day 6: Review and Computational Lab — Python for Limits

Day 6 of 2,016~9 min read

Learning Objectives

•Set up a Python environment for mathematical computing
•Use NumPy for numerical limit computation
•Visualize limits graphically with Matplotlib
•Understand numerical vs. analytical limits
•Explore the epsilon-delta definition computationally

Today's Schedule (7 hours)

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Schedule Overview Learning Objectives Environment Setup Required Software Installation Commands Lab 1 Numerical Exploration of Limits 11 Creating Tables of Values 12 Expected Output Analysis Lab 2 Visualizing Limits 21 Basic Limit Visualization 22 Epsilon-Delta Visualization Lab 3 Symbolic Computation with SymPy 31 Analytical Limits 32 Continuity Analysis Lab 4 Exploring the Squeeze Theorem Lab 5 Interactive Epsilon-Delta Explorer Lab Completion Checklist Lab Report Assignment Tomorrow Rest and Review

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