There is a trending 'microservice' library called go-kit. I've been using the go-kit library for a while now. The library provide a lot of convenience integrations that you might need in your service: with service discovery with Consul, distributed tracing with Zipkin, for example, and nice logic utilities such as round robin client side load balancing, and circuit breaking. It is also providing a way to implement communication layer, with support of RPC and REST.
package main | |
import ( | |
"log" | |
"syscall" | |
"unsafe" | |
) | |
var ( | |
kernel32 = syscall.NewLazyDLL("kernel32.dll") |
This tutorial demonstrates this: https://angular.io/docs/ts/latest/tutorial/toh-pt1.html you don't get syntax coloring, or any benefits you'd get from a good html/templating tool.
(( flashbacks to inline html strings in C++ ))
from an angular.io example:
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
// model | |
function Model () { | |
this._state = {} | |
return this | |
} | |
Model.prototype.get = function (key) { | |
return this._state[key] | |
} |
// | |
// toplevel.js | |
// | |
// TopLevel enables you to template your HTML, CSS, and Javascript at the Top Level | |
// (c) 2014 chris mckenzie. see LICENSE for more details. | |
// https://github.com/kristopolous/TopLevel for the latest version. | |
// | |
// Parts of this code use Jeremy Ashkenas' underscore library, available at | |
// https://github.com/jashkenas/underscore and protected by the license specified | |
// therein. |
WebSockets is a modern HTML5 standard which makes communication between client and server a lot more simpler than ever. We are all familiar with the technology of sockets. Sockets have been fundamental to network communication for a long time but usually the communication over the browser has been restricted. The general restrictions
- The server used to have a permanent listener while the client (aka browser) was not designated any fixed listener for a more long term connection. Hence, every communication was restricted to the client demanding and the server responding.
- This meant that unless the client requested for a particular resource, the server was unable to push such a resource to the client.
- This was detrimental since the client is then forced to check with the server at regular intervals. This meant a lot of libraries focused on optimizing asynchronous calls and identifying the response of asynchronous calls. Notably t
var crypto = require('crypto') | |
, fs = require('fs') | |
// Algorithm depends on availability of OpenSSL on platform | |
// Another algorithms: 'sha1', 'md5', 'sha256', 'sha512' ... | |
var algorithm = 'sha1' | |
, shasum = crypto.createHash(algorithm) | |
// Updating shasum with file content | |
var filename = __dirname + "/anything.txt" |