joskid’s gists

joskid / input-to-object.html

Created July 23, 2020 02:10 — forked from prof3ssorSt3v3/input-to-object.html

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<meta http-equiv="X-UA-Compatible" content="ie=edge">
	<title>Putting User Input into JS Objects</title>
	<style>
	.formBox{
	padding: 0.5rem 2rem;

joskid / map.js

Created August 3, 2020 14:52 — forked from velocity-360/map.js

	// don't forget google maps import:
	// <script src="https://maps.googleapis.com/maps/api/js?key=AIzaSyC44mPpaMNvENXryYjHBHzjST1UMnYlARk"></script>

	import React, { Component } from 'react'
	import { withGoogleMap, GoogleMap, Marker } from 'react-google-maps'

	class Map extends Component {

	constructor(){
	super()

joskid / App.js

Created August 5, 2020 16:34 — forked from rehrumesh/App.js

App.js of Cats application

	import React from "react";
	import { Router, Route } from "react-router-dom";
	import { createBrowserHistory } from "history";
	import GreetingCat from "./GreetingCat";
	import RandomCat from "./RandomCat";
	import "./App.css";

	const defaultHistory = createBrowserHistory();

	function App({ history = defaultHistory }) {

joskid / gist:e30b8a4a70ecb212d587c2a3a44007ca

Created August 29, 2020 13:47 — forked from learncodeacademy/gist:8acf7e3a2c4c33100f04c6715c662a01

Training a Neural Network - Enhanced Console Output From Brain.js

	Start Training!...Here's the data, we'll do 2 iterations:
	[ { input: [ 0, 1 ], output: [ 1, 0 ] },
	{ input: [ 1, 1 ], output: [ 1, 1 ] } ]
	======== TRAINING ITERATION 1 =========
	--------- Run input set 0: 0,1 ----------
	-> Layer 2 has 3 nodes
	START NODE: 0
	-> bias for node 0: 0.13861538469791412
	-> weights for node 0:
	-> input value: 0, weight: -0.03485306352376938

joskid / Dockerfile.md

Created December 16, 2020 02:54

Anatomy of a Dockerfile notes for myself from here: http://www.slideshare.net/dotCloud/building-images-from-dockerfiles-27105810

Set the base image to Ubuntu must be first instruction - use docker search to find images

FROM ubuntu # <image>
FROM ubuntu:latest # - <image>:<tag>
FROM ubuntu:precise (LTS)

Set the maintainer info

joskid / scroll.py

Created February 2, 2021 14:35 — forked from hmldd/scroll.py

Example of Elasticsearch scrolling using Python client

	# coding:utf-8

	from elasticsearch import Elasticsearch
	import json

	# Define config
	host = "127.0.0.1"
	port = 9200
	timeout = 1000
	index = "index"

joskid / example.md

Created February 3, 2021 20:15 — forked from dideler/example.md

A python script for extracting email addresses from text files.You can pass it multiple files. It prints the email addresses to stdout, one address per line.For ease of use, remove the .py extension and place it in your $PATH (e.g. /usr/local/bin/) to run it like a built-in command.

The program below can take one or more plain text files as input. It works with python2 and python3.

Let's say we have two files that may contain email addresses.

file_a.txt

foo bar
ok ideler.dennis@gmail.com sup
 hey...user+123@example.com,wyd
hello world!

joskid / ocr.py

Created February 17, 2021 16:28 — forked from SouravJohar/ocr.py

	import pytesseract
	import os
	import sys


	def read_image(img_path, lang='eng'):
	"""
	Performs OCR on a single image

	:img_path: str, path to the image file

joskid / Page Rank Algorithm.py

Created February 18, 2021 23:08 — forked from ksdkamesh99/Page Rank Algorithm.py

Implementation of pagerank algorithm using python networkx library

	# -- coding: utf-8 --
	"""Page Rank Algorithm.ipynb

	Automatically generated by Colaboratory.

	Original file is located at
	https://colab.research.google.com/drive/1oUC_418I6e2nv_2xBQ0sgXZtDfA98zuH
	"""

	cd /content/drive/My Drive/medium blogs/Page Rank Algorithm

joskid / DL Lab 2 Team 24_DL_Lab_2_1_data_helpers.py

Created February 26, 2021 03:03 — forked from parcmepperman/DL Lab 2 Team 24_DL_Lab_2_1_data_helpers.py

Lab 4

	import numpy as np
	import re
	import itertools
	from collections import Counter


	def clean_str(string):
	"""
	Tokenization/string cleaning for all datasets except for SST.
	Original taken from https://github.com/yoonkim/CNN_sentence/blob/master/process_data.py

Joe joskid