woodie

Rails 2.3.9 on App Engine (DataMapper)¶ ↑

Do not use rvm (or install and run from JRuby). The google-appengine gem must install into your system MRI. The appengine-sdk gem includes a complete Java app server. We bootstrap Java from MRI, then your app runs inside a servlet container (with access to all the APIs) using the version of JRuby installed into each app.

We assumed Rails 2 would never work without rubygems, and we committed to gem bunlder for JRuby on App Engine, so we were waiting for Rails 3. Fortunately, Takeru Sasaki was able to patch the Rails 2.3.x calls to rubygems, and now we have it working. Rails 2.3.x currently spins up several seconds faster than Rails 3, and just a few seconds behind Sinatra.

See the TInyDS version also: gist.github.com/gists/269075

Install the Development Environment¶ ↑

brandonbloom

// devDependencies in package.json:

    "require-reload": "0.2.2",
    "react-transform-hmr-no-accept": "1.0.1", // not published, get it here: https://github.com/brandonbloom/react-transform-hmr

// in babelrc:

 "env": {
      "development": {
        "plugins": [

mikemaccana

Wow. I've now read the whole book and much of the supporting code. I'm not a fan, and recommend against relying on it. Here's a laundry list of concerns:

• The teaching method the book uses is badly flawed. The book's strategy is to start simple and build to complexity, which makes sense if you're teaching algebra but not if you're teaching heart surgery. The result is that each chapter culminates with the implementation of a system that is grievously insecure. Little warning is given of this, apart from allusions to future chapters improving the system. For instance, Chapter 2 closes with a chat system that uses AES-CBC without an authenticator.

• The book is full of idiosyncratic recommendations. For instance, AES-CBC requires a padding scheme. There is a standard padding scheme. The book purports to present it, but instead of PKCS7, it presents 80h+00h..00h.

• At one point about 1/3rd of the way through the book, it suggests using a SHA256 hash of the plaintext as an authenticator for a message. Thi

iamaaditya

# author: Aaditya Prakash

# NVIDIA-SMI does not show the full command, and when it was launched and its RAM usage.
# PS does but it does but you need PIDs for that
# lsof /dev/nvidia gives PIDs but only for the user invoking it

# usage:
#        python programs_on_gpu.py

# Sample Output

hbredin

nicklockwood

//
//  ARC Helper
//
//  Version 2.2
//
//  Created by Nick Lockwood on 05/01/2012.
//  Copyright 2012 Charcoal Design
//
//  Distributed under the permissive zlib license
//  Get the latest version from here:

kashif

class AMSgrad(Optimizer):
    """AMSGrad optimizer.

    Default parameters follow those provided in the Adam paper.

    # Arguments
        lr: float >= 0. Learning rate.
        beta_1: float, 0 < beta < 1. Generally close to 1.
        beta_2: float, 0 < beta < 1. Generally close to 1.
        epsilon: float >= 0. Fuzz factor.

iandanforth

%%javascript
// Source - https://stackoverflow.com/a/23395136

Jupyter.beep = () => {
    var snd = new Audio("data:audio/wav;base64,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

rauchg

From zero to microservice with 𝚫 now

The following guide will show you how to deploy a simple microservice written in JavaScript using 𝚫 now.

It uses Open Source tools that are widely available, tested and understood:

• Node.JS
• NPM
• Express

acdlite

Demo: Coordinating async React with non-React views

tl;dr I built a demo illustrating what it might look like to add async rendering to Facebook's commenting interface, while ensuring it appears on the screen simultaneous to the server-rendered story.

A key benefit of async rendering is that large updates don't block the main thread; instead, the work is spread out and performed during idle periods using cooperative scheduling.

But once you make something async, you introduce the possibility that things may appear on the screen at separate times. Especially when you're dealing with multiple UI frameworks, as is often the case at Facebook.

How do we solve this with React?