Python and the computational toolchain

Running the notebooks
Core syntax and objects
Control flow and imports

Profiling and optimization
Testing and debugging
Style and maintainability

HTTP, APIs, and JSON
Archiving and verification
Reproducible data pipelines

Chain rule as a program
Forward and reverse mode
Automatic differentiation

Lists, tuples, sets, dictionaries
Iteration and comprehensions
Idiomatic Python

Version control with Git
Collaboration on GitHub
Reproducible workflows

Arrays and dtypes
Vectorized computation
Simulation

Ridge and lasso
Cross-validation
Model selection

Functions and arguments
Modules and packages
Program structure

Series and DataFrames
Data transformation
Visualization

Root finding
Optimization
Numerical integration