About this document
Introduction to SciPy for Data Science by Yobell Kevin Siburian is a document available to read on EtoBox.
SciPy is a scientific computing library for Python that provides functions for optimization, stats, signal processing, and more. It builds on NumPy and uses NumPy arrays. SciPy contains modules for sparse matrices, optimization, integration, signal processing, and more. Key functions include minimizing functions, finding roots of equations, working with graphs through adjacency matrices and algorithms like Dijkstra
- Author
- Yobell Kevin Siburian
- Language
- EN