Jonathan Street's repositories
Full-text-visualisation
Visualising similiarity in a library of documents
flask-second-factor-auth
Implementation of second factor authentication with FIDO U2F tokens in a flask application
GiveMeSomeCredit
Code developed for the GiveMeSomeCredit competition on Kaggle.com
kaggle-seizure-prediction
Model used for the UPenn and Mayo Clinic's Seizure Detection Challenge on Kaggle
pandas-web-log-analysis
Notebook/slides from my lightning talk at May 2015 DCPython Office Hours
Unitised-return
Calculate a unitised rate of return on an investment portfolio
keras_cnn_lightning_talk
Ipython notebook from my Lightning talk at DCPython Office Hours on convolutional neural nets using the keras library
3d-print-qPCR
A qPCR machine based on 3d printable parts
charts-and-images
Examples of customising matplotlib charts and working with images
django-paypal
A pluggable Django application for integrating PayPal Payments Standard or Payments Pro
django-wakawaka
A simple wiki app written in Python using the Django framework. Sample installation is on http://wakawaka.mahner.org/WikiIndex (login: admin/admin)
kaggle-axa-driver-telematics
Code to generate a submission for the Axa driver telematics analysis competition hosted on Kaggle
partial-passwords
The associated code for https://jonathanstreet.com/blog/partial-passwords/
python-iso3166
Standalone ISO 3166-1 country definitions
ATC_MiThermometer
Custom firmware for the Xiaomi Thermometer LYWSD03MMC and Telink Flasher via USB to Serial converter
BikeHackNightXI
Presentation and modeling files for Bike Hack Night XI
capitalbikeshare-tsp
Solving the traveling salesman problem for the Capital Bikeshare system
CodeKata1
The first Nova Python Code Kata
dcpython-website
DC Python Website
djangodistrict-geoviews-bokeh-intro
Lightning talk given at the django district January 2017 new tech event on geoviews and bokeh
powered-by-flask
This repository contains websites that are powered by flask.
seizure-detection
Kaggle competition winning submission for the UPenn and Mayo Clinic's Seizure Detection Challenge