N-Body-Python-simulation
Published:
Python implementation of the Barnes-Hut algorithm for simulating gravitational interactions between multiple bodies 
Published:
Python implementation of the Barnes-Hut algorithm for simulating gravitational interactions between multiple bodies 
Published:
Computational physics and cosmology projects developed at UNAM, Social Service project Cosmología Observacional a través del Cómputo Científico
Published:
Processing and Enhancement of Planetary Astrophotography Using Generative Adversarial Networks 
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Workshop, Universidad Nacional Autónoma de México, Facultad de Ciencias, 2015
As part of the Propedutic Courses at the Faculty of Sciences, I had the opportunity to teach Analytical Geometry, a fundamental subject aimed at helping incoming students bridge the gap between high school and university-level mathematics. These preparatory courses were designed to provide students with a solid foundation in key mathematical concepts, ensuring they could confidently tackle the rigorous coursework of their first semester.
Undergraduate course, Facultad de Ciencias, Universidad Nacional Autónoma de México (UNAM), 2026
Curso de licenciatura enfocado en modelado dimensional (Kimball), ETL/ELT, calidad de datos, construcción de data marts y fundamentos de minería de datos (preparación, modelos, evaluación e interpretación), con ejemplos reproducibles en Python y materiales en Quarto.