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Tristan Wietsma tristanwietsma

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  • Chicago, Illinois
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@davej
davej / delete_all_tweets.py
Last active March 27, 2024 03:12
This script will delete all of the tweets in a specified account.
# -*- coding: utf-8 -*-
"""
This script will delete all of the tweets in the specified account.
You may need to hit the "more" button on the bottom of your twitter profile
page every now and then as the script runs, this is due to a bug in twitter.
You will need to get a consumer key and consumer secret token to use this
script, you can do so by registering a twitter application at https://dev.twitter.com/apps
@requirements: Python 2.5+, Tweepy (http://pypi.python.org/pypi/tweepy/1.7.1)
@theskumar
theskumar / resume.html
Created February 21, 2012 17:02
html: resume Template (Basic)
<!DOCTYPE HTML>
<html lang="en-US">
<head>
<meta charset="UTF-8">
<title></title>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<div class="container">
@mbostock
mbostock / .block
Last active March 5, 2024 18:02
Brush & Zoom
license: gpl-3.0
redirect: https://observablehq.com/@d3/focus-context
@fchollet
fchollet / classifier_from_little_data_script_1.py
Last active November 28, 2023 07:12
Updated to the Keras 2.0 API.
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats
@t-io
t-io / osx_install.sh
Last active October 22, 2023 13:04
Install most of my Apps with homebrew & cask
#!/bin/sh
echo Install all AppStore Apps at first!
# no solution to automate AppStore installs
read -p "Press any key to continue... " -n1 -s
echo '\n'
echo Install and Set San Francisco as System Font
ruby -e "$(curl -fsSL https://raw.github.com/wellsriley/YosemiteSanFranciscoFont/master/install)"
echo Install Homebrew, Postgres, wget and cask
ruby -e "$(curl -fsSL https://raw.github.com/Homebrew/homebrew/go/install)"
@gustavohenke
gustavohenke / svg2png.js
Created February 18, 2014 15:27
SVG to PNG
var svg = document.querySelector( "svg" );
var svgData = new XMLSerializer().serializeToString( svg );
var canvas = document.createElement( "canvas" );
var ctx = canvas.getContext( "2d" );
var img = document.createElement( "img" );
img.setAttribute( "src", "data:image/svg+xml;base64," + btoa( svgData ) );
img.onload = function() {
@eferro
eferro / _aws_golang_examples.md
Last active July 21, 2023 09:35
golang aws: examples

AWS Golang SDK examples

@austinjp
austinjp / wifi-on-ubuntu-server-18.md
Last active February 10, 2023 10:10
Enabling wifi on Ubuntu server 18

Wifi on Ubuntu 18 server

TLDR

  1. Install wpasupplicant
  2. Turn on wifi radios: sudo nmcli radio wifi on
  3. Check your devices are recognised even if they're not "managed": sudo iwconfig
  4. Check your wifi (here called "wlp3s0") is capable of detecting nearby routers: sudo iwlist wlp3s0 scan
  5. Configure netplan by dropping a file called 01-netcfg.yaml into /etc/netplan/ or edit existing file there. See example below.
  6. netplan try, netplan generate, netplan apply.
@telent
telent / polar.rb
Created April 26, 2012 15:35
Interface with a polar bluetooth hrm from ruby (linux)
require 'pp'
require 'socket'
module BluetoothPolarHrm
AF_BLUETOOTH=31 # these are correct for the Linux Bluez stack
BTPROTO_RFCOMM=3
class << self
def connect_bt address_str,channel=1
bytes=address_str.split(/:/).map {|x| x.to_i(16) }
s=Socket.new(AF_BLUETOOTH, :STREAM, BTPROTO_RFCOMM)
@swyoon
swyoon / np_to_tfrecords.py
Last active November 29, 2022 06:39
From numpy ndarray to tfrecords
import numpy as np
import tensorflow as tf
__author__ = "Sangwoong Yoon"
def np_to_tfrecords(X, Y, file_path_prefix, verbose=True):
"""
Converts a Numpy array (or two Numpy arrays) into a tfrecord file.
For supervised learning, feed training inputs to X and training labels to Y.
For unsupervised learning, only feed training inputs to X, and feed None to Y.