github-shakti

# Created By Shakti
# This Script scrapes all links from the specific url and enerates a list of URL within a text file which can be run automatically to gather points on Indiatimes
#Basically  a SCRAPPING Learning Experience

from bs4 import BeautifulSoup
import urllib2
url=urllib2.urlopen("http://timesofindia.indiatimes.com/entertainment/hindi/")
content=url.read()
soup=BeautifulSoup(content)
import re

github-shakti

<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
      package="com.test"
      android:versionCode="1"
      android:versionName="1.0">
    <uses-sdk android:minSdkVersion="8" />

    <application android:icon="@drawable/icon" android:label="@string/app_name">
    
        <activity android:name=".activity01"

github-shakti

from mechanize import Browser
from bs4 import BeautifulSoup as bs
import pytesser
import random
enteredpnr = raw_input('Please input your 10 PNR no. : ')
while len(enteredpnr) != 10 or not enteredpnr.isdigit():
    print('You have not entered a 10 digit numerical value! Please try again.')
    enteredpnr = raw_input('Please input your 10 digit book no. : ')
print "PNR entered by you is "+enteredpnr
raw_input('Press Enter to Continue if correct OR restart the Script')

github-shakti

// ==UserScript==
// @name        PNR Captcha Bypass
// @namespace   http://www.indianrail.gov.in/pnr_Enq.html
// @description Autofill Captcha on Indian Railways Website for PNR Enquiry
// @include     http://www.indianrail.gov.in/pnr_Enq.html
// @version     1
// @grant       none
// ==/UserScript==
window.addEventListener('load', function() {
document.getElementById("txtInput").value=document.getElementById("txtCaptcha").value;

github-shakti

import  os
import sys
files = os.listdir(os.getcwd())

print files
for index in range(len(files)):
    files[index].split('@',1)
    extension=files[index].split('@',1)[1][-4:]
    print files[index].split('_',1)[1][:4]+" "+files[index].split('_',1)[1][4:6]+" "+files[index].split('_',1)[1][6:8]+" "+files[index].split('_',1)[1][8:14]+" _ "+files[index].split('_',1)[0]+files[index].split('_',1)[1][-4:]
    oldname=files[index]

github-shakti

Sub MacroIDSP()
'
' MacroIDSP Macro
'

'
    On Error Resume Next
    Columns("C").SpecialCells(xlBlanks).EntireRow.Delete
    Range("E1:E200").Select
    Selection.NumberFormat = "0"

github-shakti

import pandas as pd
df=pd.read_csv("IDSP.csv")
print 'Total Requests provided in the Data                             : ' + str(df.shape[0])

dfd = df.iloc[1:49692,:]
print 'Total Requests made during specified period                     : ' + str(dfd.shape[0])

cph_filter = (dfd["STOREROOM"] == "CPG") | (dfd["STOREROOM"] == "CPN")& (dfd["STOREROOM"] != "AC1")& (dfd["STOREROOM"] != "MC1")& (dfd["STOREROOM"] != "PMC")
filtered_reviews = dfd[cph_filter]
print 'Total Requests made during specified period at CPH ie (CPN & CPG): ' + str(filtered_reviews.shape[0])

github-shakti

#PatternCount
def PatternCount(Pattern, Text):
    count = 0
    for i in range(len(Text)-len(Pattern)+1):
        if Text[i:i+len(Pattern)] == Pattern:
            count = count+1
    return count 

#FrequentWords
def CountDict(Text, k):

github-shakti

# Copy your updated FrequentWords function (along with all required subroutines) below this line
#PatternCount
def PatternCount(Pattern, Text):
    count = 0
    for i in range(len(Text)-len(Pattern)+1):
        if Text[i:i+len(Pattern)] == Pattern:
            count = count+1
    return count 
#FrequentWords
def CountDict(Text, k):

github-shakti

#! python3
#This is a perceptron implementation written using tensor flow to learn basics of tensor flow
#from tensorflow.examples.tutorials.mnist import input_data
#mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
#(Train 55k / Test 10k / Validate 10k)
#structure of Data : x:mnist.train.images y:mnist.train.label
#mnist.train.images : rc [55000, 784]
#mnist.train.labels : rc [55000, 10]
#y=softmax(Wx+b)
from tensorflow.examples.tutorials.mnist import input_data