trungkak

Install Terminator (shell)

sudo add-apt-repository ppa:gnome-terminator
sudo apt-get update
sudo apt-get install terminator

Terminator should be setup as default now. Restart your terminal (shortcut: "Ctrl+Alt+T").

Install ZSH

trungkak

from graphviz import Digraph
import re
import torch
import torch.nn.functional as F
from torch.autograd import Variable
from torch.autograd import Variable
import torchvision.models as models


def make_dot(var):

trungkak

Prereq:

apt-get install zsh
apt-get install git-core

Getting zsh to work in ubuntu is weird, since sh does not understand the source command. So, you do this to install zsh

wget https://github.com/robbyrussell/oh-my-zsh/raw/master/tools/install.sh -O - | zsh

trungkak

1.Create desktop config file

sudo nano /usr/share/applications/smartsvn.desktop

2. Put the text below

[Desktop Entry]
Name=SmartSVN
Name[en]=SmartSVN
Name[ru]=SmartSVN

trungkak

from __future__ import division
import string
import math

tokenize = lambda doc: doc.lower().split(" ")

document_0 = "China has a strong economy that is growing at a rapid pace. However politically it differs greatly from the US Economy."
document_1 = "At last, China seems serious about confronting an endemic problem: domestic violence and corruption."
document_2 = "Japan's prime minister, Shinzo Abe, is working towards healing the economic turmoil in his own country for his view on the future of his people."
document_3 = "Vladimir Putin is working hard to fix the economy in Russia as the Ruble has tumbled."

trungkak

PostgreSQL Challenges

1. You need to build a pivot table WITHOUT using CROSSTAB function. Having two tables products and details you need to select a pivot table of products with counts of details occurrences (possible details values are ['good', 'ok', 'bad'].

SELECT
  distinct pro.name,
  (SELECT count(*) FROM details det2 WHERE det2.detail = 'good' AND det2.product_id = det.product_id) AS good,
  (SELECT count(*) FROM details det2 WHERE det2.detail = 'ok' AND det2.product_id = det.product_id) AS ok,
 (SELECT count(*) FROM details det2 WHERE det2.detail = 'bad' AND det2.product_id = det.product_id) AS bad

trungkak

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)

trungkak

"""Sequence-to-sequence model with an attention mechanism."""
# see https://www.tensorflow.org/versions/r0.10/tutorials/seq2seq/index.html
# compare https://github.com/tflearn/tflearn/blob/master/examples/nlp/seq2seq_example.py
from __future__ import print_function
import numpy as np
import tensorflow as tf

vocab_size=256 # We are lazy, so we avoid fency mapping and just use one *class* per character/byte
target_vocab_size=vocab_size
learning_rate=0.1

trungkak

#!/bin/bash
# install dependencies
sudo apt-get update
sudo apt-get install -y build-essential
sudo apt-get install -y cmake
sudo apt-get install -y libgtk2.0-dev
sudo apt-get install -y pkg-config
sudo apt-get install -y python-numpy python-dev
sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev

trungkak

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)