name: tufte-viz description: | Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1) Designing new data visualizations or charts (2) Critiquing or improving existing visualizations (3) Reviewing dashboards or reports for graphical integrity (4) Deciding between visualization approaches (5) Reducing chartjunk or improving data-ink ratio (6) Planning small multiples or high-density displays
| --- | |
| description: "Use shadcn/ui components as needed for any UI code" | |
| patterns: "*.tsx" | |
| --- | |
| # Shadcn UI Components | |
| This project uses @shadcn/ui for UI components. These are beautifully designed, accessible components that you can copy and paste into your apps. | |
| ## Finding and Using Components |
| // Credits to Louistiti from Drizzle Discord: https://discord.com/channels/1043890932593987624/1130802621750448160/1143083373535973406 | |
| import { sql } from "drizzle-orm"; | |
| const clearDb = async (): Promise<void> => { | |
| const query = sql<string>`SELECT table_name | |
| FROM information_schema.tables | |
| WHERE table_schema = 'public' | |
| AND table_type = 'BASE TABLE'; | |
| `; |
Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs
| # Hello, and welcome to makefile basics. | |
| # | |
| # You will learn why `make` is so great, and why, despite its "weird" syntax, | |
| # it is actually a highly expressive, efficient, and powerful way to build | |
| # programs. | |
| # | |
| # Once you're done here, go to | |
| # http://www.gnu.org/software/make/manual/make.html | |
| # to learn SOOOO much more. |
export USER_AGENT="Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/533.20.25 (KHTML, like Gecko) Version/5.0.4 Safari/533.20.27"
export DOMAIN_NAME_TO_SAVE="http://www.example.com/"
export DOMAINS_TO_INCLUDE="example.com,images.example.com,relatedwebsite.com"
# this one can be regex, or you can leave it out, whatever
export THINGS_TO_IGNORE="ignore-this,other-thing-to-ignore"
export WARC_NAME="Example.com_-_2014-10-15"
# these two are needed in case wpull quits or chokes and we need to restart where we left offI was using Boot2Docker 1.2 (OSX) and wanted to use volume for MongoDB. First nothing was happening because 1.2 has no Guest Additions and volumes don't work. There is a workaround by making a boot2docker.iso from master which has Guest Additions.
But then Mongo didn't like putting data on VirtualBox's shared folders:
[initandlisten] WARNING: This file system is not supported. For further information see:
[initandlisten] http://dochub.mongodb.org/core/unsupported-filesystems
| /*! | |
| * jQuery JavaScript Library v2.1.1pre | |
| * http://jquery.com/ | |
| * | |
| * Includes Sizzle.js | |
| * http://sizzlejs.com/ | |
| * | |
| * Copyright 2005, 2014 jQuery Foundation, Inc. and other contributors | |
| * Released under the MIT license | |
| * http://jquery.org/license |
| require 'formula' | |
| class Libmemcached < Formula | |
| homepage 'http://libmemcached.org' | |
| url 'https://launchpad.net/libmemcached/1.0/1.0.17/+download/libmemcached-1.0.17.tar.gz' | |
| sha1 '1023bc8c738b1f5b8ea2cd16d709ec6b47c3efa8' | |
| depends_on 'memcached' | |
| def install |