jaidevd

jaidevd

[{"temp":39.2,"date":"2010-01-01","time":"1:00 am"},{"temp":39.0,"date":"2010-01-01","time":"2:00 am"},{"temp":38.9,"date":"2010-01-01","time":"3:00 am"},{"temp":38.8,"date":"2010-01-01","time":"4:00 am"},{"temp":38.7,"date":"2010-01-01","time":"5:00 am"},{"temp":38.7,"date":"2010-01-01","time":"6:00 am"},{"temp":38.6,"date":"2010-01-01","time":"7:00 am"},{"temp":38.7,"date":"2010-01-01","time":"8:00 am"},{"temp":39.2,"date":"2010-01-01","time":"9:00 am"},{"temp":40.1,"date":"2010-01-01","time":"10:00 am"},{"temp":41.3,"date":"2010-01-01","time":"11:00 am"},{"temp":42.5,"date":"2010-01-01","time":"Noon"},{"temp":43.2,"date":"2010-01-01","time":"1:00 pm"},{"temp":43.5,"date":"2010-01-01","time":"2:00 pm"},{"temp":43.3,"date":"2010-01-01","time":"3:00 pm"},{"temp":42.7,"date":"2010-01-01","time":"4:00 pm"},{"temp":41.7,"date":"2010-01-01","time":"5:00 pm"},{"temp":41.2,"date":"2010-01-01","time":"6:00 pm"},{"temp":40.9,"date":"2010-01-01","time":"7:00 pm"},{"temp":40.7,"date":"2010-01-01","time":"8:00 pm"},{"te

jaidevd

{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "description": "An example of treemap layout for hierarchical data.",
  "width": 960,
  "height": 500,
  "padding": 2.5,
  "autosize": "none",

  "scales": [
    {

jaidevd

let g:python2_host_prog = '/home/jaidevd/anaconda3/bin/python'

call plug#begin('~/.local/share/nvim/plugged')

" Autocomplete stuff
if has('nvim')
  Plug 'Shougo/deoplete.nvim', { 'do': ':UpdateRemotePlugins' }
else
  Plug 'Shougo/deoplete.nvim'
  Plug 'roxma/nvim-yarp'

jaidevd

# List comprehension
x = [i for i in range(1, 21)]
y = [i ** 2 for i in x]
y = [i ** 2 for i in range(1, 21)]


# Median of a list of numbers
def median(x):
    x.sort()
    L = len(x)

jaidevd

url:
  home:
    pattern: /$YAMLURL/
    handler: FunctionHandler
    kwargs:
      function: img.do
      headers:
        Content-Type: image/png

jaidevd

import numpy as np
from sklearn.model_selection import train_test_split


def add_dummy_feature(x):
    return np.column_stack((np.ones(x.shape[0]), x))


# Predicting label follows the equation y = Xw, in its vectorized form.
# def predict(X, w):

jaidevd

jaidevd

[{"text":"For the last quarter of 2010 , Componenta 's net sales doubled to EUR131m from EUR76m for the same period a year earlier , while it moved to a zero pre-tax profit from a pre-tax loss of EUR7m .","label":"POSITIVE"},{"text":"$FB gone green on day","label":"POSITIVE"},{"text":"$MSFT SQL Server revenue grew double-digit with SQL Server Premium revenue growing over 30% http:\/\/stks.co\/ir2F","label":"POSITIVE"},{"text":"Costco: A Premier Retail Dividend Play https:\/\/t.co\/Fa5cnh2t0t $COST","label":"POSITIVE"},{"text":"Stockmann and Swedish sector company AB Lindex entered into an agreement on September 30 , 2007 , whereby Stockmann , or a wholly-owned subsidiary of it , will make a public tender offer for all of Lindex 's issued shares .","label":"POSITIVE"},{"text":"The item included restructuring costs of EUR1 .6 m , while a year earlier they were EUR13 .1 m. Diluted EPS stood at EUR0 .3 versus a loss per share of EUR 0.1 .","label":"POSITIVE"},{"text":"A portion , $ 12.5 million , will be recorded

jaidevd

[
  {
    "text": "#BREAKINGNEWS MALAYSIA AIRLINES FLIGHT #MH17 CONFIRMED SHOT DOWN OVER #DONETSK OBLAST, SHORTLY BEFORE REACHING RUSSIAN AIR SPACE",
    "labels": [
      {
        "start": 14,
        "end": 31,
        "label": "ORG"
      },
      {