RobTrew

((options) => {
    'use strict';

    // (NB JavaScript for Automation – JXA:  Save as .scpt )

    // Selected DEVONthink Sheet -> DEVONthink markdown record (MMD table)
    // (New record containing MMD table created is same group as selection)
    // Uses original fileName stem, with '.md' appended.

    // Default alignment string is centered ':--:'

EvieePy

import discord
from discord.ext import commands

import sys, traceback

"""This is a multi file example showcasing many features of the command extension and the use of cogs.
These are examples only and are not intended to be used as a fully functioning bot. Rather they should give you a basic
understanding and platform for creating your own bot.

These examples make use of Python 3.6.2 and the rewrite version on the lib.

egmontkob

Hyperlinks (a.k.a. HTML-like anchors) in terminal emulators

[ Update 2025-03-24: Commenting is disabled permanently. Previous comments are archived at web.archive.org. ]

---

Most of the terminal emulators auto-detect when a URL appears onscreen and allow to conveniently open them (e.g. via Ctrl+click or Cmd+click, or the right click menu).

It was, however, not possible until now for arbitrary text to point to URLs, just as on webpages.

Revod

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>Ansi 0 Color</key>
	<dict>
		<key>Color Space</key>
		<string>sRGB</string>
		<key>Blue Component</key>
		<real>0.25882352941176473</real>

fchollet

'''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

dannguyen

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

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

steventroughtonsmith

# coding: utf-8

from objc_util import *

UIApplication = ObjCClass('UIApplication')
UIBarButtonItem = ObjCClass('UIBarButtonItem')

@on_main_thread
def main():
	rootVC = UIApplication.sharedApplication().keyWindow().rootViewController()

steventroughtonsmith

# coding: utf-8

from UIKit import *
from Foundation import *
from ctypes import *

libobjc = CDLL('/usr/lib/libobjc.dylib')

QLPreviewController = ObjCClass('QLPreviewController')

steventroughtonsmith

# coding: utf-8
from Foundation import *
from QuartzCore import *
from UIKit import *

import console

WKWebView = ObjCClass('WKWebView')
	
@on_main_thread

steventroughtonsmith

# coding: utf-8
from objc_util import *

NSAKDeserializer = ObjCClass('NSAKDeserializer')
NSAKDeserializerStream = ObjCClass('NSAKDeserializerStream')
NSAKSerializer = ObjCClass('NSAKSerializer')
NSAKSerializerStream = ObjCClass('NSAKSerializerStream')
NSAbstractLayoutGuide = ObjCClass('NSAbstractLayoutGuide')
NSAddressCheckingResult = ObjCClass('NSAddressCheckingResult')
NSAffineTransform = ObjCClass('NSAffineTransform')