Praveen Kishor praveenkishor123

## README.md

      
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              264 forks
            
          
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              1241 stars
            
          
                roachhd
                / README.md
            
            
              Last active
              May 7, 2024 09:08
            
              
                EMOJI cheatsheet 😛😳😗😓🙉😸🙈🙊😽💀💢💥✨💏👫👄👃👀👛👛🗼🔮🔮🎄🎅👻
              
          
    EMOJI CHEAT SHEET
Emoji emoticons listed on this page are supported on Campfire, GitHub, Basecamp, Redbooth, Trac, Flowdock, Sprint.ly, Kandan, Textbox.io, Kippt, Redmine, JabbR, Trello, Hall, plug.dj, Qiita, Zendesk, Ruby China, Grove, Idobata, NodeBB Forums, Slack, Streamup, OrganisedMinds, Hackpad, Cryptbin, Kato, Reportedly, Cheerful Ghost, IRCCloud, Dashcube, MyVideoGameList, Subrosa, Sococo, Quip, And Bang, Bonusly, Discourse, Ello, and Twemoji Awesome.
However some of the emoji codes are not super easy to remember, so here is a little cheat sheet.
✈ Got flash enabled? Click the emoji code and it will be copied to your clipboard.
People

😄

  
## ClassLoaderLeakExample.java
import java.io.IOException;
import java.net.URLClassLoader;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.nio.file.Path;

/**
 * Example demonstrating a ClassLoader leak.
 *
 * <p>To see it in action, copy this file to a temp directory somewhere,

## flipkart_parser.py
# Author = Nikhil Venkat Sonti
# email = nikhilsv92@gmail.com
# github ID = shadowfax92
import sys
from xml.dom.minidom import _get_StringIO
from lxml import html
import requests
import os
import re
import time

## bigdata_resource
Bigdata is like combination of bunch of subjects. Mainly require programming, analysis, nlp, MLP, mathematics.

To see links, Go : http://www.quora.com/What-are-some-good-sources-to-learn-big-data
Here are bunch of courses I came accross:

Introduction to CS Course
Notes: Introduction to Computer Science Course that provides instructions on coding.
Online Resources:
Udacity - intro to CS course,
Coursera - Computer Science 101

## Respect Rollcall.html
<!-- Respect Rollcall -->
<li><a href="http://www.alistapart.com/articles/">A List Apart &#8212; for website builders</a></li>
<li><a href="http://abstrusegoose.com/">Abstruse Goose &#8212; my favorite comic</a></li>
<li><a href="http://al3x.net/">Alex Payne &#8212; technology rambling</a></li>
<li><a href="http://dashes.com/anil/">Anil Dash &#8212; on culture, apple &amp; design</a></li>
<li><a href="http://weblogs.mozillazine.org/asa/">Asa Dotzler &#8212; on mozilla &amp; software</a></li>
<li><a href="http://www.azarask.in/blog/">Aza Raskin &#8211; on design &amp; firefox</a></li>
<li><a href="http://christophzillgens.com/en/">Christoph Zillgens &#8212; interface design</a></li>
<li><a href="http://cssremix.com/">CSS Remix &#8212; gorgeous designs</a></li>
<li><a href="http://css-tricks.com/">CSS Tricks</a></li>

## gist:1653794

      
              1 file
            
          
              216 forks
            
          
              37 comments
            
          
              650 stars
            
          
                entaroadun
                / gist:1653794
            
            
              Created
              January 21, 2012 20:10
            
              
                Recommendation and Ratings Public Data Sets For Machine Learning 
              
          
    Movies Recommendation:

MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html
	import java.io.IOException;
	import java.net.URLClassLoader;
	import java.nio.file.Files;
	import java.nio.file.Paths;
	import java.nio.file.Path;

	/**
	* Example demonstrating a ClassLoader leak.
	*
	* <p>To see it in action, copy this file to a temp directory somewhere,
	# Author = Nikhil Venkat Sonti
	# email = nikhilsv92@gmail.com
	# github ID = shadowfax92
	import sys
	from xml.dom.minidom import _get_StringIO
	from lxml import html
	import requests
	import os
	import re
	import time
	Bigdata is like combination of bunch of subjects. Mainly require programming, analysis, nlp, MLP, mathematics.

	To see links, Go : http://www.quora.com/What-are-some-good-sources-to-learn-big-data
	Here are bunch of courses I came accross:

	Introduction to CS Course
	Notes: Introduction to Computer Science Course that provides instructions on coding.
	Online Resources:
	Udacity - intro to CS course,
	Coursera - Computer Science 101
	<!-- Respect Rollcall -->
	<li><a href="http://www.alistapart.com/articles/">A List Apart — for website builders</a></li>
	<li><a href="http://abstrusegoose.com/">Abstruse Goose — my favorite comic</a></li>
	<li><a href="http://al3x.net/">Alex Payne — technology rambling</a></li>
	<li><a href="http://dashes.com/anil/">Anil Dash — on culture, apple & design</a></li>
	<li><a href="http://weblogs.mozillazine.org/asa/">Asa Dotzler — on mozilla & software</a></li>
	<li><a href="http://www.azarask.in/blog/">Aza Raskin – on design & firefox</a></li>
	<li><a href="http://christophzillgens.com/en/">Christoph Zillgens — interface design</a></li>
	<li><a href="http://cssremix.com/">CSS Remix — gorgeous designs</a></li>
	<li><a href="http://css-tricks.com/">CSS Tricks</a></li>