| import requests | |
| import json | |
| import pandas as pd | |
| def airtable_download(table, params_dict={}, api_key=None, base_id=None, record_id=None): | |
| """Makes a request to Airtable for all records from a single table. | |
| Returns data in dictionary format. | |
| Keyword Arguments: |
| let url = "https://www.amazon.com/SanDisk-128GB-microSDXC-Memory-Adapter/dp/B073JYC4XM/"; | |
| let kwparse = (url.replace('https://','').replace('http://','').replace('www','').replace('com','').split('-').join().split('/').join().split('.')).join(',').replace(/^,/, '') | |
| let kwuniq = [...new Set(kwparse.split(','))].filter(function(e){return e}); | |
| console.log(kwuniq) | |
| // ["amazon", "SanDisk", "128GB", "microSDXC", "Memory", "Adapter", "dp", "B073JYC4XM"] | |
| // Hat Tip - Find a cleaner version at https://gist.github.com/dsottimano/52060e6a43d96804f33c59366c472305 |
| // Parse the IDs from the first four rows of the sheet | |
| function getIds() { | |
| const sheet = SpreadsheetApp.getActiveSheet(); | |
| const ids = { | |
| accountId: sheet.getRange('B1').getValue().toString(), | |
| containerId: sheet.getRange('B2').getValue().toString(), | |
| workspaceId: sheet.getRange('B3').getValue().toString(), | |
| variableId: sheet.getRange('B4').getValue().toString() | |
| }; | |
| if (ids.workspaceId.toLowerCase() === 'default') ids.workspaceId = getDefaultWorkspaceId(ids.accountId, ids.containerId); |
| // Google Apps Script for one-way data sync from a table in a Google Doc to Coda table from multiple Google Docs in a Google Drive folder | |
| // Author: Al Chen ([email protected]) | |
| // Last Updated: August 6th, 2020 | |
| // Notes: Assumes you are using the V8 runtime (https://developers.google.com/apps-script/guides/v8-runtime) | |
| // Coda's library for Google Apps Script: 15IQuWOk8MqT50FDWomh57UqWGH23gjsWVWYFms3ton6L-UHmefYHS9Vl | |
| //////////////// Setup and global variables //////////////////////////////// | |
| CodaAPI.authenticate('YOUR_API_KEY') |
| new MutationObserver(() => { | |
| let filtered = Array.prototype.filter.call( | |
| document.querySelectorAll(".roam-body a"), | |
| (a) => { | |
| return a.hostname && !a.hostname.includes("roamresearch.com"); | |
| } | |
| ); | |
| Array.prototype.forEach.call(filtered, (a) => { | |
| if (a.text == "*") { | |
| a.style.background = `url(https://www.google.com/s2/favicons?sz=16&domain=${a.hostname}) right center no-repeat`; |
| #!/usr/bin/env bash | |
| ### | |
| # NB: You probably don't want this gist any more. | |
| # Instead, use this version from `fastsetup`: | |
| # https://github.com/fastai/fastsetup/blob/master/setup-conda.sh | |
| ### | |
| set -e | |
| cd |
Here we want to scrape product name, price and rating from ebay product pages:
url = 'https://www.ebay.com/itm/Sony-PlayStation-4-PS4-Pro-1TB-4K-Console-Black/203084236670'
wanted_list = ['Sony PlayStation 4 PS4 Pro 1TB 4K Console - Black', 'US $349.99', '4.8']
scraper.build(url, wanted_list)
| ################################################################################# | |
| # Title: Create Daily Journal Entry in Devonthink, with Daily Events, Quote of the Day, World & Local News and Weather Condtion | |
| ################################################################################# | |
| # Iain Dunn | |
| # Logic2design.com | |
| # [email protected] | |
| # Contributors, inspration and sources | |
| # Based on script by Chuck Lane October 2, 2013 |
| yaml_config=""" | |
| input_features: | |
| - | |
| name: Original_Title | |
| type: text | |
| level: word | |
| encoder: t5 | |
| reduce_output: null | |
| - | |
| name: Keyword |
| import streamlit as st | |
| from ludwig.api import LudwigModel | |
| import pandas as pd | |
| st.cache(show_spinner=False) | |
| def load_model(): | |
| #Update with the path to the Ludwig trained model | |
| model = LudwigModel.load("results/experiment_run_1/model/") | |
| return model |