neerajvashistha

sudo apt-get update sudo apt-get upgrade ubuntu-drivers devices sudo ubuntu-drivers autoinstall

neerajvashistha

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# I am using this to monitor my cpu's temperature in the top bar of my os
# I have tested the script on Ubuntu 15.10 with Python 2.7.10
# Update: I used to require acpi but then found a simpler way

import sys,time,re,commands,os

from gi.repository import Gtk, GLib

neerajvashistha

#!/usr/bin/env python
# Unity indicator for dolar/real currency
# Author: Caio Almeida <[email protected]>
# 05 Jul 2016

import gobject
import gtk
import appindicator
import os, sys
import time

neerajvashistha

#!/bin/bash

#
# This is sp, the command-line Spotify controller. It talks to a running
# instance of the Spotify Linux client over dbus, providing an interface not
# unlike mpc.
#
# Put differently, it allows you to control Spotify without leaving the comfort
# of your command line, and without a custom client or Premium subscription.
#

neerajvashistha

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

neerajvashistha

# Requirements
# certifi==2018.11.29
# chardet==3.0.4
# datefinder==0.6.1
# EasyProcess==0.2.5
# emoji==0.5.1
# idna==2.8
# nltk==3.4
# pendulum==2.0.4
# PySocks==1.6.8

neerajvashistha

import re
import datetime
import pendulum
import datefinder
def review_date_cal(sentence):
	date_value = "NAN"
	now = pendulum.now()
	if 'ago' in sentence:
		if 'day' in sentence:
			value = " ".join(re.findall("[0-9]+", sentence))

neerajvashistha

import cv2
#reading the image 
image = cv2.imread("000001.jpg")
edged = cv2.Canny(image, 10, 250)
#cv2.imshow("Edges", edged)
#cv2.waitKey(0)
 
#applying closing function 
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (30, 30))
closed = cv2.morphologyEx(edged, cv2.MORPH_CLOSE, kernel)

neerajvashistha

import random

random.seed(1000)

keys = 'KUL_EAT'
old_list =['KUL_EAT_0','KUL_EAT_1','KUL_EAT_2','KUL_EAT_3','KUL_EAT_4','KUL_EAT_5','KUL_EAT_6','KUL_EAT_7','KUL_EAT_8','KUL_EAT_9','KUL_EAT_10','KUL_EAT_11','KUL_EAT_12','KUL_EAT_13','KUL_EAT_14','KUL_EAT_15', 'KUL_EAT_43']
pool = random.sample(range(50), 40)

def randomGenerator(keys,pool,old_list):
	'''

neerajvashistha

entitiesWindows1252 = (
    8364,   # 0x80  0x20AC  EURO SIGN
    65533,  # 0x81          UNDEFINED
    8218,   # 0x82  0x201A  SINGLE LOW-9 QUOTATION MARK
    402,    # 0x83  0x0192  LATIN SMALL LETTER F WITH HOOK
    8222,   # 0x84  0x201E  DOUBLE LOW-9 QUOTATION MARK
    8230,   # 0x85  0x2026  HORIZONTAL ELLIPSIS
    8224,   # 0x86  0x2020  DAGGER
    8225,   # 0x87  0x2021  DOUBLE DAGGER
    710,    # 0x88  0x02C6  MODIFIER LETTER CIRCUMFLEX ACCENT