Topics

• Models
• Querysets
• Arrays
• Reshaping and pivoting
• Linear algebra with np.linalg
• Dimensionality reduction (Feature selection)
• Using .ix, .iloc, .loc, .at and .iat to access a DataFrame
• Making Pandas Play Nice With Native Python Datatypes

Examples

• Array Access
• Pivoting with aggregating
• Reduce number of queries on ForeignKey field (n+1 issue)
• Adding a string representation of a model
• Find the least squares solution to a linear system with np.linalg.lstsq
• Reducing The Dimension With Principal Component Analysis
• Using .loc
• Moving Data Out of Pandas Into Native Python and Numpy Data Structures