Exercises from Scientific Computing 1 (UFRJ), covering root-finding, interpolation, integration, error analysis, and eigenvalue problems using Python and Jupyter Notebooks.

Explore the foundations of scientific computing with this collection of Jupyter notebooks on numerical methods. This repository covers key topics—from solving linear/nonlinear systems to polynomial interpolation and numerical differentiation—with from-scratch Python implementations.