Vilson Vieira automata

1. Download your Twitter archive

You can find this feature in Settings > Download Twitter Archive. It might take 24 hours to receive. Unzip the file and open the data folder in your terminal:

cd ~/Downloads/twitter-archive-zip-you-downloaded/data

(I have seen reports that this function may no longer be working, so this guide is mostly useful to those who were lucky enough to already have downloaded their archive.)

Retrieving Docker Image Sizes

There are two metrics that are important to consider when discussing the size of Docker images.

Compressed size - This is often referred to as the wire size. This affects how fast/slow images can be pulled from a registry. This impacts the first run experience on machines where images are not cached.
Uncompressed size - This is often referred to as the size on disk. This affects how much local storage is required to support your Docker workloads.

The example commands shown below will work on Windows, MacOS, and Linux.

How to Measure the Compressed Size

npm install [email protected] --global
npm install three
texel index.js --open

Wait for output.

Saving GIF/MP4 Frames with Texel

The above GIF was rendered with Canvas2D and JavaScript. I used texel, a tool I am developing but have not yet released.

If you want to try this very experimental tool, install the latest working version like so:

npm install [email protected] --global

procedural mesh generation

Generates an algorithmic 3D OBJ file with ThreeJS and Node.js.

# print to stdout
node generate-mesh.js > test.obj

# write to file
node generate-mesh.js test.obj

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

Clarify and agree on the scope of the system

User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?

Creating a Twitter bot with Node.js

Learn how you can create your own Twitter bot using Node.js and the new Twitter API. The bot will auto retweet in response to tweets with some particular hashtags. (https://goo.gl/4whEIt)

Tools we need

Here are the tools we’ll be using to create the bot —

Node.js installed in your machine
A registered Twitter account

	import Control.Monad (when)
	import Data.Char (chr, ord)
	import Data.IORef
	import Data.Word
	import Debug.Trace
	import System.IO.Unsafe (unsafePerformIO)
	import Text.Parsec hiding (State)
	import qualified Data.IntMap.Strict as IntMap
	import qualified Data.Map as Map
	import qualified Text.Parsec as Parsec