A software developer who loves building *things for software developers.
Built with Python and Django, running on Gunicorn.
Uses Wordnet and some NLTK modules for semantic categorisation.
Built on top of Tornado and React. Trained data stored on a Redis database with a prefix. Uses web socket for real-time monitor on the client-side, and Pub/Sub interface of Redis with a Tornado endpoint.
Used webpack and css-modules on development mode.
Built with React and Redux. The state is persisting on the
browser's local storage with
a Redux middleware. Language interpreters are running
on web workers. Workers are spawming on demand.
Used gulp on development mode.
Built with Django and Backbone.js, and socket.io
for realtime updates. Used MongoDB for storing
newsfeed, notifications and documents. The rest of the
data storing on relational database.
It was a weekend project. I built it with Backbone.js. Supports
step by step debugging, delay time between instructions, shows
pointer position with caret by instantaneously.
Built with Backbone.js. It allows extend the toolset with
an internal declarative API. The data layer is loosely coupled, It's
easy to integrate with a RESTful API.
The graph is rendered on Gephi app. I used D3.js for drawing
nodes on the browser. I feed the gml file with a python script that uses
NetworkX for building graph structure.
Dictdiffer is a helper module that helps you to diff and patch dictionaries in Python. The project is maintaining and developing by Invenio Software now.
I used Bottle and Pymongo libraries. It can be used
as a temporary backend service for your persistance
needed apps. Supports module system and have some
Parses nginx configuration files. The parser written
with Pyparser which is a python library that allows you to generate parsers with own internal DSL.
It uses Python's AST (abstract syntax trees) module. Parsers returns the skeleton of provided django models. It's using on dbpatterns for generating diagrams
from django models.