SimonGenin

{
  // Commented-out options have their default values.
  "include": ["src/**/*"],
  "exclude": ["node_modules/*"],
  // "files": [], // A list of relative or absolute file paths to include.
  // "extends": "", // A string containing a path to another configuration file to inherit from.
  // "references": [], // An array of objects `{"path": "./to/dirOrConfig"}` that specifies projects to reference.
  // "compileOnSave": false, // Signals to the IDE to generate all files for a given tsconfig.json upon saving.

  "compilerOptions": {

SimonGenin

### prerequisites
sudo yum groupinstall "Development Tools"
git --version
gcc --version
bash --version
python --version # (system)
sudo yum install -y openssl-devel readline-devel zlib-devel
sudo yum update

### install `pyenv`

SimonGenin

Latency Comparison Numbers
--------------------------
L1 cache reference                            0.5 ns
Branch mispredict                             5   ns
L2 cache reference                            7   ns             14x L1 cache
Mutex lock/unlock                            25   ns
Main memory reference                       100   ns             20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy              3,000   ns
Send 1K bytes over 1 Gbps network        10,000   ns    0.01 ms
Read 4K randomly from SSD*              150,000   ns    0.15 ms

SimonGenin

Business Models

Advertising

Models	Examples
Display ads	Yahoo!
Search ads	Google

SimonGenin

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

---

SimonGenin

1. General Background and Overview

• 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.
• Models and Issues in Data Stream Systems
• 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
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

SimonGenin

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called Reactive Programming, particularly its variant comprising of Rx, Bacon.js, RAC, and others.

Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:

Rx.Observable.prototype.flatMapLatest(selector, [thisArg])

Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.

SimonGenin

//- For use with https://github.com/CREEATION/laravel-elixir-jade

mixin blade()
  ='\r\n'
  block
  ='\r\n'


mixin phpblock()
  !='\r\n<?php '