The following guide will show you how to deploy a simple microservice written in JavaScript using 𝚫 now.
It uses Open Source tools that are widely available, tested and understood:
- Node.JS
- NPM
- Express
package main | |
import ( | |
"fmt" | |
"sync" | |
"time" | |
) | |
func main() { | |
wg := sync.WaitGroup{} |
The following guide will show you how to deploy a simple microservice written in JavaScript using 𝚫 now.
It uses Open Source tools that are widely available, tested and understood:
import "regexp" | |
// Basic regular expressions for validating strings | |
const ( | |
Email string = "^(((([a-zA-Z]|\\d|[!#\\$%&'\\*\\+\\-\\/=\\?\\^_`{\\|}~]|[\\x{00A0}-\\x{D7FF}\\x{F900}-\\x{FDCF}\\x{FDF0}-\\x{FFEF}])+(\\.([a-zA-Z]|\\d|[!#\\$%&'\\*\\+\\-\\/=\\?\\^_`{\\|}~]|[\\x{00A0}-\\x{D7FF}\\x{F900}-\\x{FDCF}\\x{FDF0}-\\x{FFEF}])+)*)|((\\x22)((((\\x20|\\x09)*(\\x0d\\x0a))?(\\x20|\\x09)+)?(([\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x7f]|\\x21|[\\x23-\\x5b]|[\\x5d-\\x7e]|[\\x{00A0}-\\x{D7FF}\\x{F900}-\\x{FDCF}\\x{FDF0}-\\x{FFEF}])|(\\([\\x01-\\x09\\x0b\\x0c\\x0d-\\x7f]|[\\x{00A0}-\\x{D7FF}\\x{F900}-\\x{FDCF}\\x{FDF0}-\\x{FFEF}]))))*(((\\x20|\\x09)*(\\x0d\\x0a))?(\\x20|\\x09)+)?(\\x22)))@((([a-zA-Z]|\\d|[\\x{00A0}-\\x{D7FF}\\x{F900}-\\x{FDCF}\\x{FDF0}-\\x{FFEF}])|(([a-zA-Z]|\\d|[\\x{00A0}-\\x{D7FF}\\x{F900}-\\x{FDCF}\\x{FDF0}-\\x{FFEF}])([a-zA-Z]|\\d|-|\\.|_|~|[\\x{00A0}-\\x{D7FF}\\x{F900}-\\x{FDCF}\\x{FDF0}-\\x{FFEF}])*([a-zA-Z]|\\d|[\\x{00A0}-\\x{D7FF}\\x{F900}-\\x{FDCF}\\x{FDF0}-\\x{FFEF}])))\\.)+(([a-zA-Z]|[\\ |
Should be work with 0.18
Destructuring(or pattern matching) is a way used to extract data from a data structure(tuple, list, record) that mirros the construction. Compare to other languages, Elm support much less destructuring but let's see what it got !
myTuple = ("A", "B", "C")
myNestedTuple = ("A", "B", "C", ("X", "Y", "Z"))
// Untar takes a destination path and a reader; a tar reader loops over the tarfile | |
// creating the file structure at 'dst' along the way, and writing any files | |
func Untar(dst string, r io.Reader) error { | |
gzr, err := gzip.NewReader(r) | |
if err != nil { | |
return err | |
} | |
defer gzr.Close() |
I'm going to start off by motivating what I'm doing here. And I want to be clear that I'm not "dissing" the existing collections implementation or anything as unproductively negative as that. It was a really good experiment, it was a huge step forward given what we knew back in 2.8, but now it's time to learn from that experiment and do better. This proposal uses what I believe are the lessons we can learn about what worked, what didn't work, and what is and isn't important about collections in Scala.
This is going to start out sounding really negative and pervasively dismissive, but bear with me! There's a point to all my ranting. I want to be really clear about my motivations for the proposal being the way that it is.
Put this in your config.fish
run
code path/to/project
# Set variables in .bashrc file | |
# don't forget to change your path correctly! | |
export GOPATH=$HOME/golang | |
export GOROOT=/usr/local/opt/go/libexec | |
export PATH=$PATH:$GOPATH/bin | |
export PATH=$PATH:$GOROOT/bin |
This gist provides a simple example of how to use Play's WS library in a standalone application (external to Play).
build.sbt - SBT build file that includes the WS library WSStandaloneTest.scala - A simple example that utilizes WS to invoke an HTTP GET request
(ns expression-problem) | |
;; Shapes have area | |
(defprotocol Areable | |
(area [this])) | |
;; We have circles | |
(defrecord Circle [radius]) | |
;; Circles have area |