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Virginia Tech MSE 2114-3114 Python for MSE

Welcome to Math Programming for Materials Science and Engineering

Front Matter

Index

MSE 2114 Python for MSE I

1. Welcome to MSE 2114
2. Introduction to the Jupyter Notebook
3. Working with Data
4. Plotting and Equation Solving
5. Reviewing essential concepts of numpy
6. Creating a “Cheat Sheet”
7. Self Review and Practice with Pandas
8. More Practice
9. Application: Plastic wire coating data
10. Advanced Plotting with matplotlib
11. Prepare for MSE 3114 next semester!

MSE 3114 Python for MSE II

1. Welcome to MSE 3114
2. Importing Data from Files & Importing Your Own Functions
3. Google Forms and Pandas Data Import and Visualization
4. Pandas DataFrames and Data Visualization
5. matplotlib - Advanced Layouts
6. Selecting pixel coordinates from an image file
7. Estimating Data Values from Plots in the Literature (Part 1)
8. Estimating Data Values from Plots in the Literature (Part 2)
9. Application: Crystallization Kinetics of Amorphous \(TiO_2\)
10. Application: Peak Deconvolution
11. Collecting Data from Log scales: Creep Analysis
12. Image Analysis: Grain Size Measurement
13. Analyzing Particles in a Matrix
14. Image Transformation using opencv

Appendix

1. Short Lesson: Markdown
2. Short Lesson: Math Operations
3. Short Lesson: Plotting Basics
4. Short Lesson: Plotting functions
5. MSE 2114 Data Files
6. LinkedIn Learning Recommendations
7. Time Saving Tips & Tricks
8. Updates & FAQ
9. MSE 3114 Data Files
10. LinkedIn Learning Recommendations
11. Time Saving Tips & Tricks
12. Updates & FAQ

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By Sean Corcoran

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