Ogi Moore j9ac9k

Polyglot Data Science with IPython & friends

A demonstration of how to use Python, Julia, Fortran and R cooperatively to analyze data, in the same process.

This is supported by the IPython kernel and a few extensions that take advantage of IPython's magic system to provide low-level integration between Python and other languages.

See the companion notebook for data preparation and setup.

KC60 Keyboard end-user tips, tricks, programming notes, etc.

Leimi's note: removed lots of stuff from the original gist of scottjl, (thanks to him by the way!), as in the end some wasn't useful for me. If you are intestered, go check the gist revisions.

The KC60 is kinda like a premade GH60 that was first sold on Massdrop during summer 2015.
It runs on TMK firmware, or something based on it at least (not sure this is the real source for the keyboard but it seems it is), which means it's heavily programmable.
There is a GUI tool (the source of this tool seems to be here) and a command-line tool to ease up the process of programming the board.
**Go check this great article on Key

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

Q: How can I make a chain of function decorators in Python?

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

	# 1. First of all of course get Manjaro:
	https://manjaro.org/get-manjaro/

	# I recommend using Etcher to copy the image to your USB:
	https://etcher.io/

	# 2. Before installing make sure:
	# - Secure boot is disabled in BIOS
	# - Your SSD, HDD or NVME drive is set to AHCI instead of RAID
	# - Fastboot should be on Auto or minimal, but this shouldn't matter to much

	# Instructions for 4.14 and cuda 9.1
	# If upgrading from 4.13 and cuda 9.0
	$ sudo apt-get purge --auto-remove libcud*
	$ sudo apt-get purge --auto-remove cuda*
	$ sudo apt-get purge --auto-remove nvidia*
	# also remove the container directory direcotory at /usr/local/cuda-9.0/

	# Important libs required with 4.14.x with Cuda 9.X
	$ sudo apt install libelf1 libelf-dev

	# Copyright (c) 2016 Rob Kent (jazzycamel)
	#
	# Permission is hereby granted, free of charge, to any person obtaining a copy of this software
	# and associated documentation files (the "Software"), to deal in the Software without restriction,
	# including without limitation the rights to use, copy, modify, merge, publish, distribute,
	# sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
	# furnished to do so, subject to the following conditions:
	#
	# The above copyright notice and this permission notice shall be included in all copies or
	# substantial portions of the Software.

	from sre_parse import Pattern, SubPattern, parse as sre_parse
	from sre_compile import compile as sre_compile
	from sre_constants import BRANCH, SUBPATTERN


	class Scanner(object):

	def __init__(self, tokens, flags=0):
	subpatterns = []
	pat = Pattern()

	# from https://gist.github.com/MattDMo/6cb1dfbe8a124e1ca5af

	import os
	import json
	import socket
	import threading

	activate_this = os.environ.get("SUBLIMEREPL_ACTIVATE_THIS", None)

	# turn off pager

	#!/usr/bin/env python
	# -- coding: utf-8 --

	import argparse

	if __name__ == '__main__':

	parser = argparse.ArgumentParser(description="""
	I never freaking remember argparse syntax and the docs are so all over the place
	that I need this for an example.