andy-thomason

Genomics - A programmer's guide.

Andy Thomason is a Senior Programmer at Genomics PLC. He has been witing graphics systems, games and compilers since the '70s and specialises in code performance.

https://www.genomicsplc.com

doctorpangloss

alexcasalboni

How to use Python3 Type Hints in AWS Lambda

TL;DR

Static Type Checkers help you find simple (but subtle) bugs in your Python code. Check out lambda_types.py and incrementally improve your code base and development/debugging experience with type hints.

Your Lambda Function code will go from this:

eashish93

vs Questions

---

1. http://stackoverflow.com/questions/804115 (rebase vs merge).
2. https://www.atlassian.com/git/tutorials/merging-vs-rebasing (rebase vs merge)
3. https://www.atlassian.com/git/tutorials/undoing-changes/ (reset vs checkout vs revert)
4. http://stackoverflow.com/questions/2221658 (HEAD^ vs HEAD~) (See git rev-parse)
5. http://stackoverflow.com/questions/292357 (pull vs fetch)
6. http://stackoverflow.com/questions/39651 (stash vs branch)
7. http://stackoverflow.com/questions/8358035 (reset vs checkout vs revert)

ChrisChares

async/await with ES6 Generators & Promises

This vanilla ES6 function async allows code to yield (i.e. await) the asynchronous result of any Promise within. The usage is almost identical to ES7's async/await keywords.

async/await control flow is promising because it allows the programmer to reason linearly about complex asynchronous code. It also has the benefit of unifying traditionally disparate synchronous and asynchronous error handling code into one try/catch block.

This is expository code for the purpose of learning ES6. It is not 100% robust. If you want to use this style of code in the real world you might want to explore a well-tested library like co, task.js or use async/await with Babel. Also take a look at the official async/await draft section on desugaring.

Compatibility

• node.js - 4.3.2+ (maybe earlier with

mattiaslundberg

Ansible playbook to setup HTTPS using Let's encrypt on nginx.

The Ansible playbook installs everything needed to serve static files from a nginx server over HTTPS.
The server pass A rating on [SSL Labs](https://www.ssllabs.com/).

To use:
 1. Install [Ansible](https://www.ansible.com/)
 2. Setup an Ubuntu 16.04 server accessible over ssh
 3. Create `/etc/ansible/hosts` according to template below and change example.com to your domain
 4. Copy the rest of the files to an empty directory (`playbook.yml` in the root of that folder and the rest in the `templates` subfolder)

hiway

"""
pybble.py

Yup, you can run Python on your Pebble too! Go thank the good folks who
made Transcrypt, a dead-simple way to take your Python code and translate
it to *very* lean Javascript. In our case, instead of browser, we run it
on Pebble using their equally dead-simple Online IDE and Pebble.js library.

Here's a working example, it runs on a real Pebble Classic.

cube-drone

Automation for the People

Long ago, the first time I read "The Pragmatic Programmer", I read some advice that really stuck with me.

"Don't Use Manual Procedures".

This in the chapter on Ubiquitous Automation. To summarize, they want you to automate all the things.

The trouble was that I hadn't much of an idea how to actually go

john-science

CUDA-based Deep Learning on an AWS EC2

If you're intersted in software you've probably heard about deep learning and even done some reading or played around with it. But unless you have a desktop for high-end gaming you've probably found that running all these new CUDA-based parallel-GPU computing tools is just painfully slow.

That's what happened to me. So, it's time to spin up an EC2 on AWS and use someone else's hardware. This is just a basic introduction into how I did that, from creating an AWS dev account to installing some fun Python deep learning projects on GitHub. If you follow along, you'll be in a good position to install whatever other tools you want (Caffe, for instance) and get deep.

Set up AWS Account

If you haven't already, you need to set up your Amazon AWS profile:

ianalexander

#neural-style Installation

This guide will walk you through the setup for neural-style on AWS.

Step 1: Install torch7

First we need to install torch, following the installation instructions here: