Alina Khay's repositories
Django_Blog
django blog - complete customization and ready to use with one click installer
Django_Blog_1
A blogging app for Django
Django_Channels
Example projects using Django Channels
Django_Example_1
Django git repository for OpenShift
Django_Openshift
Django OpenShift 1.8
Django_Paypal
A pluggable Django application for integrating PayPal Payments Standard or Payments Pro
Django_Recommend
A django app that builds item-based suggestions for users.
Django_Rest_Pandas
Serves up your Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
Django_Samiriland
Code for the current Django version of samireland.com
Django_Sklearn
A django app as an interface to scikit-learn
Django_Video_Embed
Django app for easy embedding YouTube and Vimeo videos and music from SoundCloud.
Django_Youtube
A Django web application for converting YouTube videos to MP3 audio.
Financial_Book
Python for Finance (O'Reilly)
Financial_ML_Trading
Code following along with the Udacity course Machine Learning for Trading
Financial_Quantopian
ipython notebooks from quantopian lectures series
Flask_Example_2
A tutorial to create python based prediction web app
Flask_Example_3
A microframework based on Werkzeug, Jinja2 and good intentions
Flask_Example_4
Full Stack Web Development with Flask.
Flask_Example_6
Flask app that uses machine learning to predict how you will rate a movie
Flask_Price
Pricing service which allows for setting up alerts for prices in online stores and then receive e-mails when prices go under a certain price.
Flask_Sklearn
Flask API for training and predicting using scikit learn models
ML_Examples
A collection of machine learning work in python
NLP_Topic_Modeling
Dataset collected from popular Russian collective blog Habrahabr.ru
Python_Cloud_Digitalocean
Deploying Python for Data Analytics and Jupyter Notebook in the Cloud.
Python_Numpy
Numpy exercises.
Python_Useful_Scripts
because i'm tired of gists
Recommender_Movie
Sample for building a movie recommender with GraphLab Create.
Recommender_Tutorial
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.