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Logistics
Session 1: Overview and Setup
- In-class exercise
- Homework
Session 2: Shell, Git, Markdown
- Preparation
- In-class exercise
Session 3: Basic Python
- Preparation
- In-class exercise
Session 4: More Python and Collaboration with Git
- Preparation
- In-class exercise
Assignment 1: Python and Git
- Assignment 1: Python and Git
Session 5: Basic pandas
- Preparation
- In-class exercise
Session 6: More Pandas and plotting
- Preparation
- In-class exercise
Assignment 2: Data Management
- Assignment 2: Data Management
Session 7: Numpy
- Preparation
- In-class exercise
Session 8: Testing and error handling
- Preparation
- In-class exercise
Assignment 3: Numpy and testing
- Assignment 3: Numpy and Testing
Session 9: Reproducibility and Pytask
- Preparation
- In-class exercise
Session 10: Project templates and debugging
- Preparation
- In-class exercise
Assignment 4: Project templates
- Assignment 4: Project templates
Session 11: Software engineering
- Preparation
- In-class exercise
Session 12: Numerical optimization
- Preparation
- In-class exercise
Assignment 5: Optimization (and project templates)
- Assignment 5: Optimization (and templates again!)
Session 13: Speeding up your code
- Preparation
- In-class exercise

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Assignment 5: Optimization (and project templates)

Assignment 5: Optimization (and project templates)#

Assignment 5: Optimization (and templates again!)

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Assignment 5: Optimization (and templates again!)

By Janoś Gabler and Hans-Martin von Gaudecker