veekas ashoka veekas

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

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

Default

Powerlevel10k

arguments keyword

http://www.codewars.com/kata/unpacking-arguments

http://www.codewars.com/kata/for-the-sake-of-argument

http://www.codewars.com/kata/duplicate-arguments

http://www.codewars.com/kata/basic-js-calculating-averages

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

Debugging JavaScript Applications

A practical distillation for Fullstack Academy students

Faults in computer problems were theorized as far back as 1843, when Ada Lovelace noted of Babbage's Analytical Engine, "Granted that the actual mechanism is unerring in its processes, the cards may give it wrong orders." Almost 160 years later, NIST reported that software errors cost the US $59 billion annually. Clearly, some of the cards are wrong. However, unlike Grace Hopper's famous moth, most of the time the culprit is ourselves.

Debugging is a sanitization procedure consisting of:

Preventing bugs in the first place, through good practices and assistive tooling.
Detecting bugs when they first arise, through proper error handling and testing.

Books

JavaScript in General

JavaScript: The Good Parts

Douglas Crockford | Beginner/Intermediate

Accessibility

Info collected about a11y topics.

Resources

The A11Y Project
WebAIM: Web Accessibility In Mind
Web Accessibility by Google (Udacity)
Start Building Accessible Web Applications Today - by Marcy Sutton

Feel free to run via...

npx https://gist.github.com/elijahmanor/4cc8e3eac9fb5999c5d759388ff27c64

	#! /usr/bin/env ruby

	# NOTE: Requires Ruby 2.1 or greater.

	# This script can be used to parse and dump the information from
	# the 'html/contact_info.htm' file in a Facebook user data ZIP download.
	#
	# It prints all cell phone call + SMS message + MMS records, plus a summary of each.
	#
	# It also dumps all of the records into CSV files inside a 'CSV' folder, that is created