pmav99

## gatttool-polar-h10.txt
$ sudo hcitool lescan
AA:BB:CC:DD:EE:FF Polar H10 ABCDEFGH

$ gatttool -t random --device=AA:BB:CC:DD:EE:FF --interactive
[AA:BB:CC:DD:EE:FF][LE]> connect
Attempting to connect to AA:BB:CC:DD:EE:FF
Connection successful
[AA:BB:CC:DD:EE:FF][LE]> primary
attr handle: 0x0001, end grp handle: 0x0009 uuid: 00001800-0000-1000-8000-00805f9b34fb
attr handle: 0x000a, end grp handle: 0x000d uuid: 00001801-0000-1000-8000-00805f9b34fb

## test_single_gpu.py
from __future__ import print_function
'''
Basic Multi GPU computation example using TensorFlow library.
Author: Aymeric Damien
Project: https://github.com/aymericdamien/TensorFlow-Examples/
'''

'''
This tutorial requires your machine to have 1 GPU
"/cpu:0": The CPU of your machine.

## geo_interface.rst

      
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                pmav99
                / geo_interface.rst
            
            
              Last active
              March 8, 2019 00:32
                — forked from sgillies/geo_interface.rst
            
              
                A Python Protocol for Geospatial Data
              
          
    Author: Sean Gillies Version: 1.0
Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.
Introduction


## popen.md

      
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                pmav99
                / popen.md
            
            
              Created
              January 29, 2019 23:27
                — forked from achillesrasquinha/popen.md
            
              
                A Python Popen that does not suck.
              
          
    A Python Popen that does not suck.

Function

import os
import subprocess

def popen(*args, **kwargs):
    output      = kwargs.get('output', False)
    directory   = kwargs.get('dir')

  
## split_keyboards.md

      
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                pmav99
                / split_keyboards.md
            
            
              Created
              November 3, 2018 11:38
                — forked from itod/split_keyboards.md
            
              
                Every "split" mechanical keyboard currently being sold that I know of
              
          
Kinesis Freestyle (Terrible key switches. Mushy and un-lovable)


Kinesis Freestyle Edge (Traditional layout with too many keys, mech switches, proably too big to be tented easily/properly)


Matias Ergo Pro (Looks pretty great. Have not tried.)


ErgoDox Kit (Currently, my everyday keyboard. Can buy pre-assembled on eBay.)


ErgoDox EZ (Prolly the best option for most people.)


## Scala.For.The.Impatient.md

      
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                pmav99
                /  Scala.For.The.Impatient.md
            
            
              Created
              October 19, 2018 10:03
                — forked from hhimanshu/ Scala.For.The.Impatient.md
            
              
                Scala for the Impatient Exercises
              
          
    This gist will contain all the exercises from the book

  
## skylake-tuning-linux.md

      
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                pmav99
                / skylake-tuning-linux.md
            
            
              Created
              September 28, 2018 13:25
                — forked from Brainiarc7/skylake-tuning-linux.md
            
              
                This gist will show you how to tune your Intel-based Skylake, Kabylake and beyond Integrated Graphics Core for performance and reliability through GuC and HuC firmware usage on Linux.
              
          
    Tuning Intel Skylake and beyond for optimal performance and feature level support on Linux:
Note that on Skylake, Kabylake (and the now cancelled "Broxton") SKUs, functionality such as power saving, GPU scheduling and HDMI audio have been moved onto binary-only firmware, and as such, the GuC and the HuC blobs must be loaded at run-time to access this functionality.
Enabling GuC and HuC on Skylake and above requires a few extra parameters be passed to the kernel before boot.
Instructions provided for both Fedora and Ubuntu (including Debian):
Note that the firmware for these GPUs is often packaged by your distributor, and as such, you can confirm the firmware blob's availability by running:

  
## The Ultimate Bad Ass .bashrc File
#!/bin/bash
iatest=$(expr index "$-" i)

#######################################################
# SOURCED ALIAS'S AND SCRIPTS BY zachbrowne.me
#######################################################

# Source global definitions
if [ -f /etc/bashrc ]; then
	 . /etc/bashrc

## balance.py
#!/usr/bin/env python3

import os
import logging
import psycopg2 as pg

from decimal import Decimal
from functools import wraps
from psycopg2.pool import ThreadedConnectionPool

## vtk-unstructuredgrid-to-stl.py
#!/usr/bin/env python

"""Convert UnstructuredGrid in .vtk files to STL files."""

import sys
import vtk

if len(sys.argv) < 2 or sys.argv[1] == '-h' or sys.argv[1] == '--help':
    print('Usage: vtk-unstructuredgrid-to-stl.py <input.vtk> <output.stl>')
    sys.exit(1)
	$ sudo hcitool lescan
	AA:BB:CC:DD:EE:FF Polar H10 ABCDEFGH

	$ gatttool -t random --device=AA:BB:CC:DD:EE:FF --interactive
	[AA:BB:CC:DD:EE:FF][LE]> connect
	Attempting to connect to AA:BB:CC:DD:EE:FF
	Connection successful
	[AA:BB:CC:DD:EE:FF][LE]> primary
	attr handle: 0x0001, end grp handle: 0x0009 uuid: 00001800-0000-1000-8000-00805f9b34fb
	attr handle: 0x000a, end grp handle: 0x000d uuid: 00001801-0000-1000-8000-00805f9b34fb
	from __future__ import print_function
	'''
	Basic Multi GPU computation example using TensorFlow library.
	Author: Aymeric Damien
	Project: https://github.com/aymericdamien/TensorFlow-Examples/
	'''

	'''
	This tutorial requires your machine to have 1 GPU
	"/cpu:0": The CPU of your machine.
	#!/bin/bash
	iatest=$(expr index "$-" i)

	#######################################################
	# SOURCED ALIAS'S AND SCRIPTS BY zachbrowne.me
	#######################################################

	# Source global definitions
	if [ -f /etc/bashrc ]; then
	. /etc/bashrc
	#!/usr/bin/env python3

	import os
	import logging
	import psycopg2 as pg

	from decimal import Decimal
	from functools import wraps
	from psycopg2.pool import ThreadedConnectionPool
	#!/usr/bin/env python

	"""Convert UnstructuredGrid in .vtk files to STL files."""

	import sys
	import vtk

	if len(sys.argv) < 2 or sys.argv[1] == '-h' or sys.argv[1] == '--help':
	print('Usage: vtk-unstructuredgrid-to-stl.py <input.vtk> <output.stl>')
	sys.exit(1)