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Logistics
Logistics, Dates, and Deadlines
Grading and Final Projects
Literature
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
.md
.pdf
Session 12: Numerical optimization
Session 12: Numerical optimization
#
Preparation
In-class exercise
