joshuamsalazar,Joshua,joshuamsalazr,github

Hi there 👋

This is the beggining of my personal web page: https://joshuamsalazar.github.io

Maybe for the moment you can check my profile here: https://es.wikipedia.org/wiki/Usuario:Thelichprince

I am a scientist and I am interested in the following topics:

Phyisics
Mathematics
Computer Science
Science communication

I am currently working on the following projects:

A personal web page
Offline version of Wikipedia: OfflinePedia
[ ]

Joshua's Projects

background-noise-toy-model-root

A root code for fitting and anylizing a particle signal from experimental measurements. Distinguishes between backgroung and real signal from particle peaks, and fits the different statistical parameters for each plot.

bandstructureforgpaw

This script allows you to get an accurate band structure calculation from GPAW DFT data. You can interpolate the different bands in eigenenergies vs. k-point graphs.

dft_important_commands

Some useful commands for doing DFT calculations

humiditypi

The following package allows you to generate automatically a LaTeX report that can be sent from a Gmail account. The report contains the data gathered from a DH11(humidity & temperature) sensor, everything running automatically on a Raspberry Pi.

joshuamsalazar.github.io

Sharing my knowledge and experience one blog entry at a time...

magnumnp-field-scan

Startup scripts to simulate field scans with magnumnp

magnumnp_scripts

Space to write and archive my ultimate scripts for some automated tasks and simulations commonly done through magnumnp

micromagnetic-computations-fun-uw

Repository containing final code snippets from simulations using the macrospin model.

miniproyecto-horario-limpieza

Un viejo código que permite que registres el nombre de tus compañeros de vivienda, y asignarles aleatoriamente la limpieza de su departamento compartido de las areas comunes: baño, cocina, sala.

offlinepedia

¡Archivos necesarios para poder construir tu propia OfflinePedia! Solo debes conseguir un televisor viejo, un Raspberry Pi y podrás tener una computadora de super bajo costo, con toda la Wikipedia (y toneladas de contenido académico más) descargada. Basado en Kiwix y Raspbian :)