Construyendo reportes interactivos con Streamlit

Streamlit es un marco de aplicación web que le ayuda a crear y desarrollar aplicaciones web basadas en Python que se pueden utilizar para compartir resultados de análisis, crear experiencias interactivas complejas e ilustrar nuevos modelos de Ciencia de Datos.

Además de eso, desarrollar e implementar aplicaciones Streamlit es increíblemente rápido y flexible, lo que a menudo convierte el tiempo de desarrollo de la aplicación de días en horas.

Streamlit es una herramienta que potencialmente será necesaria en la caja de herramientas de todo analista de datos y ahora es una buena idea aprender sobre ella.

Expositor:

Juan David Cardona Alzate, a physics engineer who develops code. I have worked for more than 5 years developing scientific software for computational physics applications. From there, I fell in love with programming. Nowadays, I work as a software engineer at ProsperCity. I had also the opportunity of working as a modern physics teacher, which led me to understand how much I enjoy teaching and helping people to get knowledge. For this reason, I am part of the non-profit organization Core of Science, where we develop tools for data science applications and we have some students, who learn to code building those tools. I am a very passionate person about science and try to learn something new every day. I think I am a "cool nerd", which is like a person that loves studying and teaching but in a very fun way.