Ecosyste.ms sponsors
An open API service aggregating public data about GitHub Sponsors.
An open API service aggregating public data about GitHub Sponsors.
data engineer. public policy wonk. Hip Hop head. tijuana, baja california, méxico -> san francisco bay area, ca, usa
Funding Links: https://github.com/sponsors/chekos
¡Hola!
Mi nombre es Sergio Sánchez Zavala and I create content for anyone that wants to learn data analysis + visualization (¡en español e inglés!).
why sponsor ?
prioritizes this work: I think the content and work I do is useful but sponsoring it let's me know that others out there also find it useful and/or important ❤️
increase impact: sponsorships would allow me to invest more resources into equipment and services that would increase the quality of the content and therefore increase its impact 👍
apoyas la creación de contenido en español: hoy en día la mayoría del conocimiento avanzado en la ciencia de datos (y el análisis y visualización de ellos) existe principalmente en inglés. Patrocinios como el tuyo ayudan la expansión del conocimiento a las comunidades hispanas alrededor del mundo ❤️
You can see some of the work I'm talking about at tacosdedatos.com
¡Pero hay más!
GitHub Matching Fund
During the first year of this GitHub sponsor program GitHub will match up to $5,000 so whatever you give has twice the impact.
Si tienes preguntas or you want to talk about any of the tiers offered, email me!
PyCon 2019 Tutorial: Analyzing Census Data with Pandas
Language: Jupyter Notebook - Stars: 17Este repositorio contiene los materiales para mí tutorial "Analyzing Census Data with Pandas" para PyCon US 2019
Language: Jupyter Notebook - Stars: 7A light-weight wrapper for the Datawrapper API.
Language: Python - Stars: 61Download Public Use Micro Sample (PUMS) data files from the US Census Bureau's FTP server.
Language: Python - Stars: 2#100Viz is a personal challenge to create 100 visualizations. This is the code that goes along with them.
Language: Jupyter Notebook - Stars: 2This is a repository of code and datasets for blog posts or articles I've written.
Language: Jupyter Notebook - Stars: 12