miss-invincible

import java.awt.*;
import javax.swing.*;
import javax.sound.midi.*;
import java.util.*;
import java.awt.event.*;

public class BeatBox2
{
	JPanel mainPanel;
	ArrayList<JCheckBox> checkboxList;

miss-invincible

this file contains python socket programing and many other codes.

miss-invincible

import socket
import sys

# Create a TCP/IP socket
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)

# Bind the socket to the port
server_address = ('localhost', 10000)

print >>sys.stderr, 'starting up on %s port %s' % server_address

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<?php
$servername='localhost';
$username='root';
$password='password';

try {
    $conn = new PDO("mysql:host=$servername;dbname=testdb1", $username, $password);
    // set the PDO error mode to exception
    $conn->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
    echo "Connected successfully"; 

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Say the branch in which you were working was : master

git add -A
git commit -m "added few changes"
commit hash = 5e108f2

you added your work and then committed it. But then realised you forgot to pull.Now:
git checkout -b newtry master
// git checkout newtry -->optional : try without this

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open .bash_profile file (vim ~/.bash_profile)
add this ->

[[ -s ~/.bashrc ]] && source ~/.bashrc

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to uncommit all the stuff: both the message and added files:
git reset HEAD~

in this case you would have to add files and add message before making commit.(changed and added files(staged) are unstaged).

if just just want to edit message of the commit then use soft HEAD:
git reset --soft HEAD~

to reset to a particlar commit :
git reset --hard 4a155e5

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if you wish to revert the changes of a single file use this command (when you file name does not match with any of the branch names):
git checkout filename

if your file name is similar to any of your branch names the use this command:
git checkout -- filename

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to see the log of git commits :
git log branchname

to change a commit messsage:(not tested this)
git commit --amend

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1) install python3 (numpy has one dependency which needs python3.4 so it is better to install python3)
2) install pip python3:
  sudo apt install python3-pip
3) install sklearn:
  pip3 install -U scikit-learn
4) test on python if it is successfully installed:
python3
from sklearn.cluster import KMeans
if everything is imported successfully then its cool, else it will ask to install python numpy
5) install python numpy