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followers: 726.0 following: 842.0 repos: 33.0 gists: 107.0

Name: paco xander nathan

Type: User

Company: @Senzing

Bio: devrel @Senzing

Twitter: pacoid

Location: coastal redwoods

Blog: https://derwen.ai/paco

Wash Warm, Tumble Dry 👋

🔭☕🛠️ Currently working on ...
- entity resolved knowledge graphs
- natural language + graph technologies + probabilistic data structures, see https://huggingface.co/pacoid
- devrel @ senzing.com
- managing partner @ derwen.ai
- advisor + board member @ argilla.io; advisor @ kungfu.ai; advisor @ dataspartan ; advisor @ kurve.ai
- graph data science in general -- see: https://www.linkedin.com/groups/6725785/
- enhancements and integrations for pytextrank, kglab, mkrefs, disparity_filter
- API development with fastapi, pydantic, pydantic-aioredis
- "Thinking Sparse and Dense" about how hardware evolution drives AI
💬
- fluently: EN, Py, C++, JavaScript, Bash, LPG, RDF/OWL/SKOS/SHACL, NLP, ML, Neural Networks, Distrib Systems, Optimization
- conversationally: FR, ES
- attempted: FA, CY, JA, AR, RU, Abstract Algebra, Topology
- etc: Scala, Clojure, R, Java, C, FORTRAN, LISP, Pascal, JCL, Spice, Verilog, various assembly
- pronouns: he/him
- 📫 reach me: https://derwen.ai/paco, @[email protected], Signal
🙌 collaborates on: integrating Python libraries that provide different kinds of language or graph capabilities
- see also: https://stackoverflow.com/users/1698443/paco
👍 animist, bioregionalist, /|\
🌳 fun fact: lives on an apple orchard in the Redwoods near the coast, making gelato, sorbet, granita, cider, mead, limoncello, and so on
🎬 favorite animation series: Llamas with Hats
🏙️ member: ACM, PSF, NumFOCUS, ESIP
orcid.org/0000-0003-3167-1539 | 📚
🚴 activities: cycling, kayaking, hiking

paco xander nathan's Projects

chicagocrime

predictive modeling for crime rates in Chicago wards; published KDD 2013

clksim

Clickstream log data simulator in Python

copa

Cascading plus City of Palo Alto open data

dataink

Java implementation of "Data-Ink Ratio Analysis" metric described by Edward Tufte

Exelixi is a distributed framework based on Apache Mesos, mostly implemented in Python using gevent for high-performance concurrency. It is intended to run cluster computing jobs (partitioned batch jobs, which include some messaging) in pure Python. By default, it runs genetic algorithms at scale.

freecell

Examples of simulation and optimization using the game "Freecell" as a context.

impatient

source examples to support the "Cascading for the Impatient" blog post series

intro_spark

Code examples supporting the "Introduction to Apache Spark" video published by O'Reilly Media

itds

Intro to Data Science workshop

jem-docker

Docker container capable of running an iPython notebook server, for "Just Enough Math"

jem-video

A companion wiki + code repository for the O'Reilly Media video "Just Enough Math". This site provides additional links, sample code, and other addenda.

jupyterlab-metadata-service

A metadata service, client and UI for schema.org

kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

minealto

Minecraft plugin based on Open Data from City of Palo Alto

mkepub

Simple minimalistic library for creating EPUB3 files

modeling_sustainability

Modeling Sustainability - KGC 2021 workshop, collaborative KG definition for Common Action

motifiesta

Approximate subgraph motif mining through learnable edge contraction.

nbtransom

Machines and people collaborating together through Jupyter notebooks.

oriole_jupyterday_atl

Oriole talk at JupyterDay Atlanta

pattern

"Pattern" sub-project for Cascading, which uses Cascading flows as containers for machine learning models, importing PMML model descriptions from R, SAS, KNIME, Weka, RapidMiner, etc.