staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

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This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

prologic

Learn Go in ~5mins

This is inspired by A half-hour to learn Rust and Zig in 30 minutes.

Basics

Your first Go program as a classical "Hello World" is pretty simple:

First we create a workspace for our project:

larrybolt

#!/usr/bin/env bash
set -o errexit
set -o nounset
set -o pipefail

# Automatically update your CloudFlare DNS record to the IP, Dynamic DNS
# Can retrieve cloudflare Domain id and list zone's, because, lazy

# Place at:
# /usr/local/bin/cf-ddns.sh

1wErt3r

;SMBDIS.ASM - A COMPREHENSIVE SUPER MARIO BROS. DISASSEMBLY
;by doppelganger (doppelheathen@gmail.com)

;This file is provided for your own use as-is.  It will require the character rom data
;and an iNES file header to get it to work.

;There are so many people I have to thank for this, that taking all the credit for
;myself would be an unforgivable act of arrogance. Without their help this would
;probably not be possible.  So I thank all the peeps in the nesdev scene whose insight into
;the 6502 and the NES helped me learn how it works (you guys know who you are, there's no 

IanColdwater

Mute these words in your settings here: https://twitter.com/settings/muted_keywords

ActivityTweet
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suggest_activity
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suggest_activity_highlights
suggest_activity_tweet

justjanne

Server Price Breakdown: DigitalOcean, Amazon AWS LightSail, Vultr, Linode, OVH, Hetzner, Scaleway/Online.net:

Permalink: git.io/vps

$5/mo

Provider	Type	RAM	Cores	Storage	Transfer	Network	Price

debasishg

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

edjw

// // https://twitter.com/settings/your_twitter_data/twitter_interests
// Lots of discussion and improvement of the original script in the comments

// Here's the best version that works well
// Because Twitter stops the script working after unchecking 50 interests, so you will almost certainly have to run the script multiple times

function sleep(milliseconds) {
    return new Promise(function (resolve) {
        return setTimeout(resolve, milliseconds);
    });

erkobridee

Links úteis

• A Rant about Estimation – When Will We Stop Being Crazy

• InfoQ BR

  • Fuja da escravidão antes que ela te alcance - Nesta palestra, Vinícius Teles nos fala a respeito da realidade de muitos trabalhadores que possuem vidas estáveis, porém repletas de frustrações advindas de suas rotinas e carreiras aparentemente seguras. Vinícius trata do empreendedorismo, com dicas para profissionais de tecnologia que buscam atingir não apenas a estabilidade financeira, mas também a plena satisfação profissional e pessoal.

  • Agile Brazil 2012

Filimoa

"""
Based off Stripe's checkout repo, see the link for the Flask analogue. 

https://github.com/stripe-samples/checkout-one-time-payments/blob/master/server/python/server.py

Assumes project is structured like:

    src/
        backend/
            app.py