Nishant Shukla BinRoot

Mathematics: What do grad students in math do all day?

A lot of math grad school is reading books and papers and trying to understand what's going on. The difficulty is that reading math is not like reading a mystery thriller, and it's not even like reading a history book or a New York Times article.

The main issue is that, by the time you get to the frontiers of math, the words to describe the concepts don't really exist yet. Communicating these ideas is a bit like trying to explain a vacuum cleaner to someone who has never seen one, except you're only allowed to use words that are four letters long or shorter.

What can you say?

	# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
	# Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0

	# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1'
	# where x' = [x \| 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's.
	# Similarly, for h * W_2 + b_2
	import tensorflow as tf
	import numpy as np
	from sklearn import datasets
	from sklearn.model_selection import train_test_split

	import input_data
	import tensorflow as tf

	# http://www.tensorflow.org/tutorials/mnist/beginners/index.html
	print '\033[93m' + 'Tutorial1 from:\nhttp://www.tensorflow.org/tutorials/mnist/beginners/index.html' + '\033[0m'
	print 'MNIST INPUT DATA'
	mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

	'PLACE HOLDERS'
	# Make a placeholder / value to input on run

	#!/bin/sh

	echo "installing fonts at $PWD to ~/.fonts/"
	mkdir -p ~/.fonts/adobe-fonts/source-code-pro
	git clone https://github.com/adobe-fonts/source-code-pro.git ~/.fonts/adobe-fonts/source-code-pro
	# find ~/.fonts/ -iname '*.ttf' -exec echo \{\} \;
	fc-cache -f -v ~/.fonts/adobe-fonts/source-code-pro
	echo "finished installing"

	#!/usr/bin/env python2.7
	# -- coding: utf-8 --
	# vim:ts=2:sw=2:expandtab

	import os
	import xcb
	from xcb.xproto import *
	from PIL import Image

	XCB_MAP_STATE_VIEWABLE = 2

	def d(*args):
	d_name = 'd'
	import inspect

	cur = inspect.currentframe()
	calling_frame = inspect.getouterframes(cur)[1]
	frameinfo = inspect.getframeinfo(calling_frame[0])
	string = frameinfo.code_context[0].strip()
	import ast
	ast_module = ast.parse(string)

	extern mod extra;

	use std::{int,io,result};
	use extra::{net,net_tcp,uv};

	fn main() {
	let (accept_port, accept_chan) = stream();
	let (finish_port, finish_chan) = stream();

	let addr = extra::net_ip::v4::parse_addr("127.0.0.1");

	--Haskell Quine
	--Implementation 1
	import Control.Monad
	import Control.Monad.Instances
	main = (putStr . ap (++) show)
	"--Haskell Quine\n--Implementation 1\nimport Control.Monad\nimport Control.Monad.Instances\nmain = (putStr . ap (++) show) "

	--Implementation 2
	--main = putStrLn (s ++ show s) where s =
	-- "--Haskell Quine\n--Implementation 2\nmain = putStrLn (s ++ show s) where s ="

	<html>
	<title>rtb</title>
	<head>
	<meta http-equiv="refresh" content="5; url=http://twitter.com/r00tth3b0x">
	</head>
	<body bgcolor="black">

	<pre><center><font color="white">
	d8888b. .d88b. .d88b. d888888b d888888b db db d88888b d8888b. .d88b. db db
	88 `8D .8P Y8. .8P Y8. `~~88~~' `~~88~~' 88 88 88' 88 `8D .8P Y8. `8b d8'

	module Example () where

	import Network.HTTP

	-- Non HTTPS

	-- 1. Perform a basic HTTP get request and return the body
	get :: String -> IO String
	get url = simpleHTTP (getRequest url) >>= getResponseBody