navin-mohan

#!/bin/bash
sudo pacman -S tlp --noconfirm
sudo systemctl enable tlp.service
sudo systemctl enable tlp-sleep.service
sudo systemctl mask systemd-rfkill.service
sudo systemctl mask systemd-rfkill.socket
sudo systemctl start tlp.service
sudo systemctl start tlp-sleep.service

navin-mohan

from html.parser import HTMLParser

class TextExtractionParser(HTMLParser):
    '''
    Custom HTML Parser that extracts 
    textual data from HTML
    '''
    def __init__(self,*args,**kwargs):
        super().__init__(*args,**kwargs)
        self.word_list = []

navin-mohan

/*  
 The Running Key  
 ----------------  
 The running key cryptographic algorithm is a classical cipher that uses a long key  
 such as random sentences from books to encrypt another message. It uses a table for  
 mapping the cipher text using the key and the plain-text.  
   
 get more info here  
   
   

navin-mohan

navin-mohan

# /etc/apt/apt.conf
Acquire::http::Proxy "http://mec:mec@192.168.0.4:3128";

navin-mohan

#include <stdio.h>
#include <stdlib.h>
#include <ctype.h>
#include <string.h>

#define TAB_SIZE 100
#define SYMBOL_SIZE 30

#define OPCODE_SIZE 10

navin-mohan

#include <stdio.h>
#include <stdlib.h>
#include <ctype.h>
#include <string.h>

#define SYMTAB_SIZE 100
#define SYMBOL_SIZE 30

typedef unsigned int uint;

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#------------------------------------------------------------------------------#
#                   OFFICIAL DEBIAN REPOS                    
#------------------------------------------------------------------------------#

###### Debian Main Repos
deb http://deb.debian.org/debian/ stable main contrib non-free
deb-src http://deb.debian.org/debian/ stable main contrib non-free

deb http://deb.debian.org/debian/ stable-updates main contrib non-free
deb-src http://deb.debian.org/debian/ stable-updates main contrib non-free

navin-mohan

Installing CodeBlocks

On Windows XP / Vista / 7 / 8.x / 10

Download the installer from any of the links below.

• Link 1
• Link 2

It includes both the compiler(gcc) and IDE.

Ubuntu

navin-mohan

# Python 3

import numpy as np
from PIL import Image
from io import BytesIO
from IPython import display


def split_test_train(dataset,percent):
  '''Randomly splits the data set into test and train sets'''