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Steve Phelps

Highly skilled Researcher, Full-Stack Engineer and Data Scientist with over 20 years of experience in software development, data engineering, and AI. Highly proficient in Python, R, Java, Scala, Javascript, devops and Linux, with a proven track record of developing innovative solutions for clients across various industries. Adept at mentoring junior team members and collaborating with multifunctional teams to deliver high-quality, scalable software solutions using continuous delivery. Strong expertise in data science, with a focus on:

Languages, Tools, and Skills 🛠

python javascript node.js react html css markdown sql postgresql git github terminal

GitHub Stats 📈

Steve Phelps's Projects

go-ethereum icon go-ethereum

Official Go implementation of the Ethereum protocol

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

hadoopcryptoledger icon hadoopcryptoledger

Hadoop Crypto Ledger - Analyzing CryptoLedgers, such as Bitcoin Blockchain, on Big Data platforms, such as Hadoop/Spark/Flink/Hive

hadoopcryptoledger-plus icon hadoopcryptoledger-plus

Fork of ZuInnoTe/hadoopcryptoledger with additional functionality to compute block hashes and addresses as they appear in blockexplorer

ipypublish icon ipypublish

A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jabm icon jabm

Java Agent Based Modelling toolkit

jasa icon jasa

JASA is a high-performance auction simulator written in JAVA. It is designed for performing experiments in agent-based computational economics.

jwt-scala icon jwt-scala

JWT support for Scala. Bonus extensions for Play, Play JSON, Json4s, Circe, uPickle, Spray and Argonaut

learning-market-maker icon learning-market-maker

Python implementation of the basic model described in Chan, Nicholas Tung, and Christian Shelton. "An electronic market-maker."

llm-cooperation icon llm-cooperation

Code and materials for the paper S. Phelps and Y. I. Russell, Investigating Emergent Goal-Like Behaviour in Large Language Models Using Experimental Economics, working paper, arXiv:2305.07970, May 2023

nanopar icon nanopar

Minimalist parallel map function which doesn't require pickling

nashpy icon nashpy

A library for the computation of Nash equilibria in two player games

openai-pygenerator icon openai-pygenerator

Type-annoted wrapper for OpenAI Python API which provides a generator over completions with retry functionality when encountering RateLimitError

papaparse icon papaparse

Fast and powerful CSV (delimited text) parser that gracefully handles large files and malformed input

parser icon parser

Colored-Coins blockchain parser

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