Mert Akengin's Projects
A flexible utility for flattening and unflattening dict-like objects in Python.
Game Environments
gcc arm docker build for cross compiling
#dash #docset #go #gobyexample
Quick HMAC implementation with MD5 and SHA1 hashing functions to be used in Plain C or Embedded systems.
Hacker News iOS Client
The Easiest Way to Create a Hacker News Feed using Python and JavaScript - We’ve all been sitting in the back of a CS lecture or class and looked up from our laptop to actually listen and taken a quick peek around at everyone’s laptops. More likely than not, quite a few of those screens were displaying the all too familiar Hacker News orange. While maybe we should all pay attention more to the speaker, it seems new, cool news always takes precedence. So what if you were determined to never miss a single article? Or what if you wanted to get every update from the site and automate based off that new information? By leveraging the power of PubNub’s real time global network and scraping a little RSS everyone will never miss a new Hacker News article again.
A CLI workflow for the administration of Mac applications distributed as binaries
:beers: Core formulae for the Homebrew package manager
Alternate versions of casks
My simple Swiss Army knife for http/https troubleshooting and profiling.
Sublime text plugin to send input arguments when building.
ioquake3 open-source quake3 with force-dimension haptic feedback device support
See nearby BLE devices on-screen :)
Displays toast notification when system events happened.
Slides for my JSConfUY 2015 talk reviewing Apple's new JavaScript for OSX Automation feature that was announced at WWDC 2014.
confluent platform in docker image (compose)
Provides docker-compose template for Kafka monitoring with Splunk
ssh key distribution script using bash and gnu-make
Koç University deep learning framework.
IRC Client for Mac
linux kernel builds inside docker, cached for convenience
a basic (linear) compression utility for files (mostly for re-occuring continuous bytes)
Run Kubernetes locally