- [Data Structures] (https://gist.github.com/lawloretienne/6f7d7d92f72986f5ebd60f226d9044ee#data-structures)
- [Linked Lists] (https://gist.github.com/lawloretienne/6f7d7d92f72986f5ebd60f226d9044ee#linked-lists)
- [Trees] (https://gist.github.com/lawloretienne/6f7d7d92f72986f5ebd60f226d9044ee#trees)
- [Binary Trees] (https://gist.github.com/lawloretienne/6f7d7d92f72986f5ebd60f226d9044ee#binary-trees)
- [Binary Search Tree] (https://gist.github.com/lawloretienne/6f7d7d92f72986f5ebd60f226d9044ee#binary-search-tree)
- [Red-Black Tree] (https://gist.github.com/lawloretienne/6f7d7d92f72986f5ebd60f226d9044ee#red-black-tree)
- [AVL Tree] (https://gist.github.com/lawloretienne/6f7d7d92f72986f5ebd60f226d9044ee#avl-tree)
- [Tries] (https://gist.github.com/lawloretienne/6f7d7d92f72986f5ebd60f226d9044ee#tries)
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# Something in lines of http://stackoverflow.com/questions/348630/how-can-i-download-all-emails-with-attachments-from-gmail | |
# Make sure you have IMAP enabled in your gmail settings. | |
# Right now it won't download same file name twice even if their contents are different. | |
import email | |
import getpass, imaplib | |
import os | |
import sys | |
detach_dir = '.' |
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// THIS IS A BETA! I DON'T RECOMMEND USING IT IN PRODUCTION CODE JUST YET | |
/* | |
* Copyright 2012 Roman Nurik | |
* | |
* Licensed under the Apache License, Version 2.0 (the "License"); | |
* you may not use this file except in compliance with the License. | |
* You may obtain a copy of the License at | |
* | |
* http://www.apache.org/licenses/LICENSE-2.0 |
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/** | |
* CSS theme for the Clearly browser extension by Evernote. | |
* See: www.evernote.com/clearly/ | |
* | |
* Options used alongside this CSS: | |
* | |
* Fonts: | |
* Body font: Ubuntu | |
* Header font: Verdana, Helvetica | |
* Monospace font: Droid Sans Mono |
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#!/usr/bin/env bash | |
echo "Generating eclipse projects for all ROS projects in this directory" | |
for MKFILE in `find $PWD -name Makefile`; do | |
DIR=`dirname $MKFILE` | |
echo $DIR | |
cd $DIR | |
make eclipse-project | |
done |
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import nltk | |
with open('sample.txt', 'r') as f: | |
sample = f.read() | |
sentences = nltk.sent_tokenize(sample) | |
tokenized_sentences = [nltk.word_tokenize(sentence) for sentence in sentences] | |
tagged_sentences = [nltk.pos_tag(sentence) for sentence in tokenized_sentences] | |
chunked_sentences = nltk.batch_ne_chunk(tagged_sentences, binary=True) |