Python for Scientific Computing and Data Science

An examination of the core components of the Python software ecosystem for scientific computing and data science, with a particular focus on numpy, scipy, and pandas. This lecture will describe the overall design and structure of these packages and some of their components, complemented by code examples that demonstrate some of the key functionality. Also addressed will be issues of performance and the integration of these core packages in the larger Python ecosystem.

0:00 Python ecosystem
5:09 NumPy
26:26 SciPy
36:57 Pandas
47:01 Integration of the larger ecosystem