abdalimran

import java.util.Date;
import java.text.DateFormat;
import java.text.SimpleDateFormat;

public class ThreadEvents implements Runnable
{
	final long timeInterval = 60*1000;
	private Thread theThread;
	
	

abdalimran

import javax.swing.JOptionPane;
 
public class NotifyEvent
{
	NotifyEvent(String msg)
	{
	    JOptionPane.showMessageDialog(null,msg,
		    "Event Notification",
		    JOptionPane.PLAIN_MESSAGE);
	}

abdalimran

#!/bin/bash

# Created by: Abdullah Al Imran
# Email: [email protected]

#Adding PPA
add-apt-repository -y ppa:atareao/atareao
add-apt-repository -y ppa:caffeine-developers/ppa
add-apt-repository -y ppa:diesch/testing
add-apt-repository -y ppa:eugenesan/ppa

abdalimran

library("dplyr")
df1 <- data.frame(a = 1:5, b=letters[1:5])
df2 <- data.frame(a = 1:3, b=letters[1:3])

anti_join(df1,df2)

abdalimran

#include <iostream>
#include <vector>
#include <set>
#include <cstring>
#include <string>
#include <map>
#include <queue>
#include <algorithm>

using namespace std;

abdalimran

x	y = f(x) = x^2+5
-6	41
-5	30
-4	21
-3	14
-2	9
-1	6
0	5
1	6

abdalimran

import numpy as np

def func(x):
    return x**2+5

x = np.array([-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6])
y = func(x)

print(x)
print(y)

abdalimran

import sympy as sp

x = sp.Symbol('x')

f = x**2 + 5
f_prime = f.diff(x)

print(f_prime)

abdalimran

gamma = 0.001  
x = 6
iterations = 5000
    
for i in range(0,iterations):
    x_gradient = 2*x
    x1 = x - gamma * x_gradient
    x = x1
        
print("iterations =",iterations,"\nx = ",x)

abdalimran