bryant988

/**
 *  NOTE: this specifically works if the house is for sale since it renders differently.
 *  This will download the highest resolution available per image.
 */ 



/**
 * STEP 1: Make sure to *SCROLL* through all images so they appear on DOM.
 * No need to click any images.

ty-shaikh

├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── models             <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),

scrapehero

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Written as part of https://www.scrapehero.com/how-to-scrape-amazon-product-reviews-using-python/
from lxml import html
from json import dump,loads
from requests import get
import json
from re import sub
from dateutil import parser as dateparser
from time import sleep

alysivji

# standard library
import os

# dash libs
import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import plotly.figure_factory as ff
import plotly.graph_objs as go

justincbagley

How to convert markdown to PDF:

This post reviews several methods for converting a Markdown (.md) formatted file to PDF, from UNIX or Linux machines.

Using Pandoc:

$ pandoc How_I_got_svg-resizer_working_on_Mac_OSX.md -s -o test1.pdf

gene1wood

This gist contains lists of modules available in

• Python 3.10
• Python 3.9
• Python 3.8
• Python 3.7
• Python 3.6
• Python 2.7

in AWS Lambda.

dannguyen

Iowa Liquor Sales dataset via Socrata/data.iowa.gov

(preliminary exploration)

The state of Iowa has released an 800MB+ dataset of more than 3 million rows showing weekly liquor sales, broken down by liquor category, vendor, and product name, e.g. STRAIGHT BOURBON WHISKIES, Jim Beam Brands, Maker's Mark

This dataset contains the spirits purchase information of Iowa Class “E” liquor licensees by product and date of purchase from January 1, 2014 to current. The dataset can be used to analyze total spirits sales in Iowa of individual products at the store level.

You can view the dataset via Socrata

kidpixo

Warning This is SEVERELY outdated, the current jupyter version is > 6.X, please refer to your current jupyter notebook installation!

Disclaimer : I just copied those shortcuts from Jupyter Menú > Help > Keyboard Shortcuts, I didn't wrote them myself.

Check your current shortcuts in your Help, shortcuts coule have been modified by extensions or your past self.

Toc

Keyboard shortcuts

djhocking

one <- seq(1:10)
two <- rnorm(10)
three <- runif(10, 1, 2)
four <- -10:-1

df <- data.frame(one, two, three)
df2 <- data.frame(one, two, three, four)

str(df)

yashh

import base64, copy, sys
import requests
import json
from urlparse import urlparse

sip_domain = "company.com"
username = "firstname.lastname@company.com"
password = "somepassword"

def extractAuthURL(str):