Name: David Loughnane
Type: User
Bio: Senior Data Scientist with strong product, software engineering, and finance experience. I'm passionate working with python, the pyData stack, pyTorch, and SQL.
Location: London
Blog: https://uk.linkedin.com/in/david-loughnane-49724230
David Loughnane's Projects
List manipulation in Prolog
Conway's game of life in Prolog
Library implementing basic algorithms and data structures from Udacity's Technical Interview course
Priority queue event simulator for Algorithms
Masters Thesis - Classification of Brain Networks generated from HCP
Intro to Testing and Test Automation in Python
Conversion Rates from "Collection of Data Science Takehome Challenges" by Giulio Palombo
Observations from Ian on successfully delivering data science products
DeepWalk - Deep Learning for Graphs
Searching for an optimal caching algorithm in content-based networks
A small Docker-based map/reduce example that I prepared for the Europython
Project to decode messages sent using enigma machine
Tutorial files and code the EuroPython 2017 tutorial, "A Hands-On Approach to Tuning Python Applications for Performance".
Code from EuroPython 2017 training session
Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly
Bayesian Networks and facial image reconstruction using PCA
Introduction to Statistical Modeling with Python (PyCon 2017)
A collection of IPython notebooks covering various topics.
Janky CI robot, dockerized
Kaggle Titanic Project
Map Matching
Examples and IPython Notebooks about NetworkX
Exercises for OOP in C++
Producer consumer in C
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code for A Programmer's Introduction to Mathematics