Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing
Notebooks on topics from numerical analysis, all written in python
COOL VISUALIZATIONS Mathematica Notebooks for Math 385 Numerical Methods at Hunter College
This repository introduces a Python Jupyter Notebook code cells for geospatial analysis and land suitability assessment
Simple python implementations of commonly known numeric algorithms
Exercises from Scientific Computing 1 (UFRJ), covering root-finding, interpolation, integration, error analysis, and eigenvalue problems using Python and Jupyter Notebooks.
Lab work and experiments from my Digital Image Processing course, using Python in Google Colab notebooks. Focused on practical implementation of core image processing techniques.
Jupyter Notebooks para a disciplina de Métodos Numéricos da UFRJ. Inclui solução de sistemas lineares (Hilbert, CG, refinamento), interpolação/ajuste de curvas (Splines, Bézier, MMQ Quadrático) com aplicações.
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.
This project showcases a Python-based DSP application for visualizing interpolation filters applied to audio signals. Built using tkinter, matplotlib, and scipy, it includes a functional GUI and Jupyter notebook to demonstrate zero-order hold (ZOH), linear, and FIR interpolation techniques. Designed for educational use and signal analysis.
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