Ryan Wold afomi

Phoenix 1.4 ships with exciting new features, most notably with HTTP2 support, improved development experience with faster compile times, new error pages, and local SSL certificate generation. Additionally, our channel layer internals receiveced an overhaul, provided better structure and extensibility. We also shipped a new and improved Presence javascript API, as well as Elixir formatter integration for our routing and test DSLs.

This release requires few user-facing changes and should be a fast upgrade for those on Phoenix 1.3.x.

Install the new phx.new project generator

The mix phx.new archive can now be installed via hex, for a simpler, versioned installation experience.

To grab the new archive, simply run:

ElixirConf 2018

Short Version

Elixir in the Next 5 Years - Jose Valim Video

Earlier
- Enhanced documentation with authors and deprecated. Upgraded ExDocs
- Development page on elixir-lang.org
Community is getting better. New podcasts, frameworks, and faster compilation.

Using PGP signatures with bitcoin script OP_CHECKDATASIG

Dr. Mark B. Lundeberg, 2018 August 30 bitcoincash:qqy9myvyt7qffgye5a2mn2vn8ry95qm6asy40ptgx2

Since version 2.1, GnuPG is able to use the very same secp256k1 elliptic curve signature algorithm (ECDSA) as used in bitcoin. Quite soon Bitcoin Cash will add a new script opcode OP_CHECKDATASIG that is able to check signatures not just on the containing transaction, but also on arbitrary data. For fun, let's try to intersect the two signature systems and see what can be done!

Background

OP_CHECKDATASIG signatures

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

What's an Effective Engineer?

We're hiring!

ISL invents digital & physical experiences for the world’s biggest brands. Our designers, developers, marketers and makers build everything from apps, to connected devices, to wildly creative campaigns that reach audiences globally.

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#StrangeLoop2016 all videos

Simplified Code

video

Program Slicing

Fixing bugs have diminishing returns. There is a one time cost, barrier to entry, to fixing bugs in dependencies. How do you make it easier to read and understand your dependencies?

Docs are perpetually out of date, source code is never out of date for describing what it does.

Currently, there is an explosion of tools that aim to manage secrets for automated, cloud native infrastructure management. Daniel Somerfield did some work classifying the various approaches, but (as far as I know) no one has made a recent effort to summarize the various tools.

This is an attempt to give a quick overview of what can be found out there. The list is alphabetical. There will be tools that are missing, and some of the facts might be wrong--I welcome your corrections. For the purpose, I can be reached via @maxvt on Twitter, or just leave me a comment here.

There is a companion feature matrix of various tools. Comments are welcome in the same manner.

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

	<!DOCTYPE html>
	<meta charset="utf-8">
	<body>
	<script src="//d3js.org/d3.v7.min.js"></script>
	<script src="https://unpkg.com/@hpcc-js/[email protected]/dist/graphviz.umd.js"></script>
	<script src="https://unpkg.com/[email protected]/build/d3-graphviz.js"></script>
	<div id="graph" style="text-align: center;"></div>
	<script>

	var dotIndex = 0;