garnaat

In [1]: policy = """{
   ...:   "Statement":[{
   ...:     "Effect":"Allow",
   ...:     "Action":["s3:*"],
   ...:     "Resource":["arn:aws:s3:::mybucket"]}]}"""
In [2]: import boto
In [4]: c = boto.connect_iam()
In [5]: instance_profile = c.create_instance_profile('myinstanceprofile')
In [6]: role = c.create_role('myrole')
In [7]: c.add_role_to_instance_profile('myinstanceprofile', 'myrole')

iros

Title

<Additional information about your API call. Try to use verbs that match both request type (fetching vs modifying) and plurality (one vs multiple).>

• URL

  <The URL Structure (path only, no root url)>

• Method:

natelandau

#  ---------------------------------------------------------------------------
#
#  Description:  This file holds all my BASH configurations and aliases
#
#  Sections:
#  1.   Environment Configuration
#  2.   Make Terminal Better (remapping defaults and adding functionality)
#  3.   File and Folder Management
#  4.   Searching
#  5.   Process Management

prabirshrestha

# curl -Lk https://gist.githubusercontent.com/prabirshrestha/279d8b179d9353fe8694/raw/.bash_profile -o ~/.bash_profile
[[ -s ~/.nvm/nvm.sh ]] && . ~/.nvm/nvm.sh # This loads NVM
export PATH="$HOME/.cargo/bin:$HOME/go/bin:$HOME/Library/Python/3.7/bin:$PATH"
export PATH="$HOME/.config/nvim/plugins/vim-themis/bin:$PATH"

stty -ixon

alias pbcopy='xsel --clipboard --input'
alias pbpaste='xsel --clipboard --output'

topheman

" Vundle config

set nocompatible              " be iMproved, required
filetype off                  " required

" set the runtime path to include Vundle and initialize
set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()
" alternatively, pass a path where Vundle should install plugins
"call vundle#begin('~/some/path/here')

iMilnb

boto3 quick hands-on

This documentation aims at being a quick-straight-to-the-point-hands-on AWS resources manipulation with [boto3][0].

First of all, you'll need to install [boto3][0]. Installing it along with [awscli][1] is probably a good idea as

• [awscli][1] is boto-based
• [awscli][1] usage is really close to boto's

jdforsythe

cmdkey /list | ForEach-Object{if($_ -like "*target=TERMSRV/*"){cmdkey /del:($_ -replace " ","" -replace "Target:","")}}
echo "Connecting to 192.168.1.100"
$Server="192.168.1.100"
$User="Administrator"
$Password="AdminPassword"
cmdkey /generic:TERMSRV/$Server /user:$User /pass:$Password
mstsc /v:$Server

robphoenix

This is unmaintained, please visit Ben-PH/spacemacs-cheatsheet

Useful Spacemacs commands

• SPC q q - quit
• SPC w / - split window vertically
• SPC w - - split window horizontally
• SPC 1 - switch to window 1
• SPC 2 - switch to window 2
• SPC w c - delete current window

mertyildiran

#!/usr/bin/env python3

# pip install SpeechRecognition

# https://pypi.python.org/pypi/SpeechRecognition/
# recognizer_instance.recognize_google(audio_data, key = None, language = "en-US", show_all = False)
# Performs speech recognition on audio_data (an AudioData instance), using the Google Speech Recognition API.
# The Google Speech Recognition API key is specified by key. If not specified, it uses a generic key that works out of the box.
# This should generally be used for personal or testing purposes only, as it may be revoked by Google at any time.

srsani

import glob
import pydub
import pandas as pd
import glob

def con_mp3_wav(file):

  sound = pydub.AudioSegment.from_mp3(file) ## reading the file mp3 file
  sound.export(file[:-4]+".wav", format="wav")## exporting the wav fiel to a spesific folder. 
                                              ## file[:-4] removes the .mp3 from the file name.