Miguel Serrano mserranom

Applying for British Passport

Take an English GESE Grade 5 Exam
Take a life in the UK test
Fill application
Send documentation via Nationality Checking Service
Wait for approval
Go through ceremonies
Apply for British Passport
Request not to lose Spanish nationality

Ciudad del Paraíso

Vicente Aleixandre

A mi ciudad de Málaga

Siempre te ven mis ojos, ciudad de mis días marinos.

Colgada del imponente monte, apenas detenida

en tu vertical caída a las ondas azules,

Stuff to do when moving house

Change HMRC address
Cancel/Change gas and electricity contracts
Notify address change if waiting for Permanent Residency approval / Citizenship / Passport
Change Address in banks
Notify and cancel Council Tax
GP notify / change
If temporarily, notify RoyalMail to forward email somewhere else

1. what is it

I't a serverless tool that extend traditional event logging introducing support advance Real Time Processing and ML Training scenarios.

2. why should I use it

Because it enables advanced data engineering and ML scenarios for your project in a lightweight and affordable fashion

3. why should I contribute to it

Because we're open to colaborate in your proposal and build the features you need.

Feature Store

Uber Michelangelo

https://eng.uber.com/michelangelo/

Finding good features is often the hardest part of machine learning and we have found that building and managing data pipelines is typically one of the most costly pieces of a complete machine learning solution.

A platform should provide standard tools for building data pipelines to generate feature and label data sets for training (and re-training) and feature-only data sets for predicting. These tools should have deep integration with the company’s data lake or warehouses and with the company’s online data serving systems. The pipelines need to be scalable and performant, incorporate integrated monitoring for data flow and data quality, and support both online and offline training and predicting. Ideally, they should also generate the features in a way that is shareable across teams to reduce duplicate work and increase data quality. They should also provide strong guard rails and controls to encourage and empower users to adop

	export class NotificationsStore {

	@Inject('repository') // injection by id
	documentRepository : DocumentRepository;

	private notifications : Array<Notifications>;

	@PostConstruct
	init() {
	// invoked after all injections have been resolved

	"use strict";


	function doThrow() {
	throw new Error("an error!");
	}

	function doAsyncSuccess() : Promise<void> {
	return new Promise<void>((resolve, reject) => {
	setTimeout(() => resolve(), 10);

	echo "postprocessing documentation..."
	PACKAGE=`cat blurr/PACKAGE` # PACKAGE and VERSION are generated during pypy package build
	VERSION=`cat blurr/VERSION`
	BRANCH=`git branch \| sed -n -e 's/^\* \(.*\)/\1/p'`
	sed -e "s/\@BRANCH@/$BRANCH/" binder/README-template.md > binder/README.md
	sed -e "s/\@PACKAGE@/$PACKAGE/" -e "s/\@VERSION@/$VERSION/" binder/requirements-template.txt > binder/requirements.txt

	Type: Blurr:Transform:Streaming
	Version: '2018-03-01'
	Description: New York Store Exchange Transformations
	Name: nyse

	Import:
	- { Module: datetime, Identifiers: [ datetime ] }

	Identity: source.symbol