... or Why Pipelining Is Not That Easy
Golang Concurrency Patterns for brave and smart.
By @kachayev
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>tableToExcel Demo</title> | |
<script src="tableToExcel.js"></script> | |
</head> | |
<body> | |
<h1>tableToExcel Demo</h1> | |
<p>Exporting the W3C Example Table</p> |
/** | |
* A function that takes a template and grammatical options ('gender', 'person', 'name') and returns the computed string. | |
* See below for examples. | |
* | |
* See wikipedia for more on grammar: | |
* http://en.wikipedia.org/wiki/English_personal_pronouns | |
* http://en.wikipedia.org/wiki/Grammatical_conjugation | |
*/ | |
function personalize(template, options) { | |
var GENDERS = ['neutral', 'female', 'male']; |
import java.io.BufferedReader; | |
import java.io.IOException; | |
import java.io.InputStreamReader; | |
public class WindowsProcessKiller { | |
// command used to get list of running task | |
private static final String TASKLIST = "tasklist"; | |
// command used to kill a task | |
private static final String KILL = "taskkill /IM "; |
... or Why Pipelining Is Not That Easy
Golang Concurrency Patterns for brave and smart.
By @kachayev
When [Markdown][markdown] appeared more than 10 years ago, it aimed to make it easier to express ideas in an easy-to-write plain text format. It offers a simple syntax that takes the writer focus away from the formatting, thus giving her time to focus on the actual content.
The market abunds of editors to be used for help with markdown. After a few attempts, I settled to Sublime and its browser preview plugin, which work great for me and have a small memory footprint to accomplish that. To pass the results around to other people, less technical, a markdown file and a bunch of images is not the best approach, so converting it to a more robust format like PDF seems like a much better choice.
[Pandoc][pandoc] is the swiss-army knife of converting documents between various formats. While being able to deal with heavy-weight formats like docx and epub, we will need it for the more lightweight markdown. To be able to generate PDF files, we need LaTeX. On OSX, the s
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