Skip to content

Instantly share code, notes, and snippets.

View subash-a's full-sized avatar

Subhash Sharma subash-a

15 followers · 18 following
View GitHub Profile
@amysimmons
amysimmons / advanced-js-resources.md
Last active April 12, 2024 18:26

Advanced JavaScript Learning Resources

This is a list of advanced JavaScript learning resources from people who responded to this [Tweet][13] and this [Tweet][20].

  • [You Don't Know JS][3]

  • [Frontend Masters courses by Kyle Simpson][12]

  • [@mpjme][6]'s [YouTube videos][5]

@wincent
wincent / gist:598fa75e22bdfa44cf47
Last active April 2, 2024 18:21

2015-01-29 Unofficial Relay FAQ

Compilation of questions and answers about Relay from React.js Conf.

Disclaimer: I work on Relay at Facebook. Relay is a complex system on which we're iterating aggressively. I'll do my best here to provide accurate, useful answers, but the details are subject to change. I may also be wrong. Feedback and additional questions are welcome.

What is Relay?

Relay is a new framework from Facebook that provides data-fetching functionality for React applications. It was announced at React.js Conf (January 2015).

@ericelliott
ericelliott / essential-javascript-links.md
Last active May 17, 2024 03:38
Essential JavaScript Links
@p3t3r67x0
p3t3r67x0 / pseudo_elements.md
Last active January 16, 2024 01:17
A CSS pseudo-element is used to style specified parts of an element. In some cases you can style native HTML controls with vendor specific pseudo-elements. Here you will find an list of cross browser specific pseudo-element selectors.

Styling native elements

Native HTML controls are a challenge to style. You can style any element in the web platform that uses Shadow DOM with a pseudo element ::pseudo-element or the /deep/ path selector.

video::webkit-media-controls-timeline {
  background-color: lime;
}

video /deep/ input[type=range] {
@debasishg
debasishg / gist:8172796
Last active July 5, 2024 11:53
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t