donaldwhyte Goto Github PK
Name: Donald Whyte
Type: User
Bio: Software engineer, data and Rust enthusiast
Location: London, United Kingdom
Donald Whyte's Projects
algo-interview-questions
Repository containing solutions to algo interview questions
algorithmic-trading-using-high-perf-data-processing-in-python
Second version of talk demonstrating how to massively optimise data processing and numerical computation in Python
anonybew
Branch of Mibew which anonymises chat participants
asifsha.github.io
My personal website
autoftp
Automatically exported from code.google.com/p/autoftp
bronze
Single-threaded in-memory cache implemented in Rust
callee
Argument matchers for unittest.mock
commodity-market-simulator
Simulates a simple commodity market system, allowing commands to be entered locally or remotely
computer-graphics-experiments
Coursework for CR30 module Computer Graphics for University of Leeds
cracking-the-code-interview-answers
Answers to the problems listed in the book Cracking the Code Interview
decay_type
Macro for decaying Rust types to their simplest value type form
deep-learning-with-rnns
Presentation slides and workshop materials of Deep Learning with Recurrent Neural Networks
dev-environment-tools
Vagrant and Chef scripts for provisioning my development environments
distributed-systems-coursework
Coursework for TC30 module Distributed Systems for University of Leeds
donaldwhyte.github.io
Personal website
donchain
Blockchain implementation in Rust
dotfiles
Dotfiles I use for personal development
double
Mocking framework for Rust -- inspired by googlemock
examitext
Automatically exported from code.google.com/p/examitext
fileprocessor
Harness that makes bulk processing of files quick and easy
fosdem-notes
My personal notes on FOSDEM talks I attended
generator-node-express
A Yeoman Generator for Express Apps
gitignore
A collection of useful .gitignore templates
gmock-presentation
Presentation on Google Mock
heroku-xvfb-buildpack
Buildpack for installing xvfb on heroku
high-performance-data-processing-in-python
Talk demonstrating how to massively optimise data processing and numerical computation in Python
hiredis
Minimalistic C client for Redis >= 1.2
how-to-build-and-ship-an-mvp-in-24-hours
Presentation on how to build and ship an MVP in 24 hours, complete with code examples
intro-to-deeplearning
Presentation giving a high-level overview of deep learning, with practical code examples
intro-to-ml
Presentation briefly introducing machine learning, what it is, its current state and how to use it
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