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.

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leonardofed

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

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heldrida

        <div id="fb-root"></div>

        <script>
        window.fbAsyncInit = function() {
                FB.init({
                appId: 'xxxxxxxxxxxxx',
                status: true,
                cookie: true,
                xfbml: true
            });

nmarley

import boto3
import base64

if __name__ == '__main__':
    session = boto3.session.Session()

    kms = session.client('kms')

    encrypted_password = 'AQECAHjgTiiE7TYRGp5Irf8jQ3HzlaQaHGYgsUJDaavnHcFm0gAAAGswaQYJKoZIhvcNAQcGoFwwWgIBADBVBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDDwxVQuG0oVwpkU7nQIBEIAoVGk1/wpserb+GVUOzE7PiL/Nr9fTDFKZfpKpF0ip2ct4B2q0Wn6ZZw=='
    binary_data = base64.b64decode(encrypted_password)

benshimmin

<?php
/* Caveat: I'm not a PHP programmer, so this may or may
 * not be the most idiomatic code...
 *
 * FPDF is a free PHP library for creating PDFs:
 * http://www.fpdf.org/
 */
require("fpdf.php");

class PDF extends FPDF {

fancellu

import java.util

import org.apache.kafka.clients.consumer.KafkaConsumer

import scala.collection.JavaConverters._

object ConsumerExample extends App {

  import java.util.Properties

yefim

{
  "AWSEBDockerrunVersion": "1",
  "Image": {
    "Name": "<AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/<NAME>:<TAG>",
    "Update": "true"
  },
  "Ports": [
    {
      "ContainerPort": "443"
    }

srcecde

cd /usr/local/bin
sudo mkdir ffmpeg && cd ffmpeg

# check https://johnvansickle.com/ffmpeg/ for latest build
sudo wget https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz
sudo tar -xf ffmpeg-release-amd64-static.tar.xz

sudo ln -s /usr/local/bin/ffmpeg/ffmpeg-4.4.1-amd64-static/ffmpeg /usr/bin/ffmpeg
sudo ln -s /usr/local/bin/ffmpeg/ffmpeg-4.4.1-amd64-static/ffprobe /usr/bin/ffprobe

kayousterhout

Generating Flame Graphs for Apache Spark

Flame graphs are a nifty debugging tool to determine where CPU time is being spent. Using the Java Flight recorder, you can do this for Java processes without adding significant runtime overhead.

When are flame graphs useful?

Shivaram Venkataraman and I have found these flame recordings to be useful for diagnosing coarse-grained performance problems. We started using them at the suggestion of Josh Rosen, who quickly made one for the Spark scheduler when we were talking to him about why the scheduler caps out at a throughput of a few thousand tasks per second. Josh generated a graph similar to the one below, which illustrates that a significant amount of time is spent in serialization (if you click in the top right hand corner and search for "serialize", you can see that 78.6% of the sampled CPU time was spent in serialization). We used this insight to spee

japsu

ARCHIVED: How to get NumPy and SciPy working in a virtualenv under Mac OS X

Please don't use this method any more, this is ages old (2014, Python 2.7).

Assuming you use virtualenv for Python library hygiene. Now you want Numpy and Scipy in your project.

NumPy and SciPy can not be easily installed under Mac OS X with a simple

pip install scipy