- Philadelphia, PA
- https://about.chrisgebert.net
- @[email protected]
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[Under development] A dbt ETL project to convert a Synthea synthetic data set into the OMOP CDM
Sample configuration to deploy a modern data platform.
brozzler - distributed browser-based web crawler
Material and setup files for Soda-sql getting started tutorial. Provides users with docker containers with soda-sql installed and pre-filled database.
A simple, fast and user-friendly alternative to 'find'
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
A reusable Django app that configures your project for deployment
A data set based on all arXiv publications, pre-processed for NLP, including structured full-text and citation network
Code for a web application to highlight citations to retracted articles.
💨🥫 A Data Factory system for running data processing pipelines built on AirFlow and tailored to CKAN. Includes evolution of DataPusher and Xloader for loading data to DataStore.
📊 Cube — The Semantic Layer for Building Data Applications
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Labs and demos for courses for GCP Training (https://cloud.google.com/training).
Marp for VS Code: Create slide deck written in Marp Markdown on VS Code
This repository contains demos I made with the Transformers library by HuggingFace.
DO NOT FORK, CLICK ON "Use this template" - A github template to start a Python Project - this uses github actions to generate your project based on the template.
SQL databases in Python, designed for simplicity, compatibility, and robustness.
A collection of tests to validate the contents of OpenElections data files.
A tutorial showing some of the features of Cloud Run
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Create a ETL data pipeline on Google Cloud Platform
Notes for doing things in Python
A curated collection of helpful SQL queries and functions, maintained by Count.
A VS Code extension pack to help users visualize, understand, and interact with data.
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.