Pinned Repositories
blog-api
RESTful API backend for a blogging service
conduit-node-api
My code for Thinkster's NodeJS JSON API guide (https://thinkster.io/tutorials/node-json-api). A REST API backend for a blog application
django-polls
Code for the official Django tutorial https://docs.djangoproject.com/en/2.0/intro/tutorial01/
Eloquent-Javascript-Exercises
My solutions to the code exercises from Eloquent Javascript by Marijn Haverbeke - http://eloquentjavascript.net/
express-geo-ip
A simple web service to provide geolocation data for IP addresses. Uses MaxMind's free GeoLite2 IP geolocation database (https://dev.maxmind.com/geoip/geoip2/geolite2/) and bluesmoon's geoip-lite NPM module (https://www.npmjs.com/package/geoip-lite)
hello-world
NodeSchool's git-it workshopper
jawine's Repositories
jawine/blog-api
RESTful API backend for a blogging service
jawine/conduit-node-api
My code for Thinkster's NodeJS JSON API guide (https://thinkster.io/tutorials/node-json-api). A REST API backend for a blog application
jawine/django-polls
Code for the official Django tutorial https://docs.djangoproject.com/en/2.0/intro/tutorial01/
jawine/Eloquent-Javascript-Exercises
My solutions to the code exercises from Eloquent Javascript by Marijn Haverbeke - http://eloquentjavascript.net/
jawine/express-geo-ip
A simple web service to provide geolocation data for IP addresses. Uses MaxMind's free GeoLite2 IP geolocation database (https://dev.maxmind.com/geoip/geoip2/geolite2/) and bluesmoon's geoip-lite NPM module (https://www.npmjs.com/package/geoip-lite)
jawine/hello-world
NodeSchool's git-it workshopper
jawine/learnyounode-jawine
My solutions to NodeSchool's learnyounode workshopper challenges (https://github.com/workshopper/learnyounode)
jawine/microblog
Flask mega tutorial code https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
jawine/node-scratchpad
Code snippets and examples for future reference
jawine/patchwork
All the Git-it Workshop completers!
jawine/Python-Algorithms
My implementation of the data structures and algorithms from Princeton's Algorithms course implemented in Python 3.5