weiczhu

# Redis Cheatsheet
# All the commands you need to know


redis-server /path/redis.conf  # start redis with the related configuration file
redis-cli                      # opens a redis prompt


# Strings.

weiczhu

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

weiczhu

class Node:
    def __init__(self, label=None, data=None):
        self.label = label
        self.data = data
        self.children = dict()
    
    def addChild(self, key, data=None):
        if not isinstance(key, Node):
            self.children[key] = Node(key, data)
        else:

weiczhu

Neo4j Tutorial

Fundamentals

Store any kind of data using the following graph concepts:

• Node: Graph data records
• Relationship: Connect nodes (has direction and a type)
• Property: Stores data in key-value pair in nodes and relationships
• Label: Groups nodes and relationships (optional)

weiczhu

# create stub, then run flask app in tornado on port 5000 (perhaps with supervisord config below http://supervisord.org/index.html)

#!/usr/bin/env python

from tornado.wsgi import WSGIContainer
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from myflaskapp import app

http_server = HTTPServer(WSGIContainer(app))