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
Project Session
Social Sciences
Economics
Mathematics and Statistics
Chemistry and Biology