manashmandal

from __future__ import print_function
from gensim.models import KeyedVectors

# Creating the model
en_model = KeyedVectors.load_word2vec_format('wiki.en/wiki.en.vec')

# Getting the tokens 
words = []
for word in en_model.vocab:
    words.append(word)

manashmandal

from __future__ import print_function
from gensim.models import KeyedVectors
import numpy as np
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt

# Loading the vectors
## [Warning] Takes a lot of time 
en_model = KeyedVectors.load_word2vec_format('wiki.en/wiki.en.vec')

manashmandal

Note: I'm currently taking a break from this course to focus on my studies so I can finally graduate

Table of Contents

1. Overview
2. Introduction
3. Interactive Start
4. Linux and Server-Side Javascript
5. Linux Command Line
6. Linux Development Environment

manashmandal

var Cylon = require('cylon');

Cylon.robot({
    connections: {
        arduino: { adaptor: 'firmata', port: 'COM8' }
    },

    devices: {
        led: { driver: 'led', pin: 13 }
    },

manashmandal

from __future__ import print_function
import numpy as np
import tensorflow as tf

sess = tf.Session()

inp = tf.Variable(np.array([0.0, 0.0, 0.0, 0.0, 1.0]).reshape(1, 1, 5, 1), name="inp")
fil = tf.Variable(np.array([0.0, 0.5, 1.0]).reshape(1, 3, 1, 1), name="fil")

op = tf.nn.conv2d(inp, fil, strides=[1, 1, 1, 1], padding='SAME')

manashmandal

[{
	"country": "eufra",
	"name": "France"
}, {
	"country": "euprt",
	"name": "Portugal"
}, {
	"country": "euesp",
	"name": "Spain"
}, {

manashmandal

import matplotlib.pyplot as plt
import numpy as np

def likelihood(theta):
    return theta**7 * (1 - theta)**3

thetas = np.linspace(0, 1, 100)
L = [likelihood(thetas[i]) for i in range(len(thetas))]

plt.plot(thetas, L)

manashmandal

import matplotlib.pyplot as plt
import numpy as np

def likelihood(theta):
    return theta**7 * (1 - theta)**3

thetas = np.linspace(0, 1, 100)
L = [likelihood(thetas[i]) for i in range(len(thetas))]

theta_for_maximum_likelihood = thetas[np.argmax(L)]

manashmandal

This guide assumes:

• You have a VPS (something like DigitalOcean, Linode, etc.)
• You have a Flask application and a basic understanding of command line instructions
• You've got nginx installed and know where your configuration files are

Instructions

1. First, you should install gunicorn on your box or virtualenv with pip:

manashmandal

#!/usr/bin/env python

# simply do the following to generate dates for month 12
# curl -s apl-days.py | python - 12 2017

from datetime import date
from calendar import monthrange
from sys import argv

# check if any argument is provided