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# unregister broken GHC packages. Run this a few times to resolve dependency rot in installed packages. | |
# ghc-pkg-clean -f cabal/dev/packages*.conf also works. | |
function ghc-pkg-clean() { | |
for p in `ghc-pkg check $* 2>&1 | grep problems | awk '{print $6}' | sed -e 's/:$//'` | |
do | |
echo unregistering $p; ghc-pkg $* unregister $p | |
done | |
} | |
# remove all installed GHC/cabal packages, leaving ~/.cabal binaries and docs in place. |
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//equivalent of "select count (distinct fieldName) from someTable" | |
db.someCollection.aggregate([{ $group: { _id: "$fieldName"} },{ $group: { _id: 1, count: { $sum: 1 } } } ]) |
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''' | |
The MIT License (MIT) | |
Copyright (c) 2013 Krishna Bharadwaj <krishna@krishnabharadwaj.info> | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
of this software and associated documentation files (the "Software"), to deal | |
in the Software without restriction, including without limitation the rights | |
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
copies of the Software, and to permit persons to whom the Software is |
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?
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#!/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 |
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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) |
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# 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 |
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--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 =" |
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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 |
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