Python for Data Science: Session Three

Session Content

Teaching Session Content

• Creating arrays and accessing elements
• Reshaping and combining arrays
• Arithmetic, reduction and accumulation
• Aggregations, filtering and sorting

Project Session Content

• Reading and manipulating image data
• Benchmarking NumPy
• Linear Algebra Basics

Recommended Reading and Resources

• NumPy API Reference
• NumPy Glossary
• Numba for NumPy

Session Resources

Teaching Session

• Questions
• Solutions

Project Session

• Questions
• Solutions
• Red Panda Picture
• Wine Dataset