say4n

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Table Flip / Flipping Table 

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say4n

This simple API for Wayback is a test to see if a given url is archived and currenlty accessible in the Wayback Machine. This API is useful for providing a 404 or other error handler which checks Wayback to see if it has an archived copy ready to display. The API can be used as follows:

http://archive.org/wayback/available?url=example.com
which might return:

{
    "archived_snapshots": {
        "closest": {
            "available": true,
            "url": "http://web.archive.org/web/20130919044612/http://example.com/",

say4n

https://en.wikipedia.org/w/api.php?action=query&prop=extracts&format=json&exintro=&titles={QUERY_STRING}

say4n

DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE 
                    Version 2, December 2004 

 Copyright (C) 2016 Sayan Goswami <[email protected]> 

 Everyone is permitted to copy and distribute verbatim or modified 
 copies of this license document, and changing it is allowed as long 
 as the name is changed. 

            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE 

say4n

To use the profiler, just use import pyprofile and if the function to be profiled is named stupid_code use the profiler as follows

@pyprofile
def stupid_code():
    # do something stupid here

say4n

Open terminal and type
defaults write com.apple.dock persistent-apps -array-add '{"tile-type"="spacer-tile";}'; killall Dock

say4n

# variables
src="./build/"
dst=".."

# jekyll build
echo "Runnning jekyll build"
jekyll build --destination $src

# copy to root
echo "Moving files from $src to $dst"

say4n

import threading
import time


class RepeatedTimer(object):
    def __init__(self, interval, _function, *args, **kwargs):
        self._timer = None
        self.interval = interval
        self.function = _function
        self.args = args

say4n

#include <iostream>
#include <iomanip>
#include <cstdlib>
#include <algorithm>
#include <fstream>
#include <cstdio>
#include <cmath>
#include <cstring>
#include <string>
#include <ctime>

say4n

#!/usr/bin/env python3

import matplotlib.pyplot as plt
import numpy as np
import PIL
import PIL.Image as Image


plt.axis('off')