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content(archives): format codeblocks
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@@ -16,13 +16,13 @@ The advantage to this approach is that it's very lightweight since it doesn't re
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**Examples**
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You can get a fully functional ubuntu machine by just running
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```
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```sh
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docker run -it ubuntu bash
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```
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Running an nginx web server can be done easily using docker-compose:
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docker-compose.yml:
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Create: `docker-compose.yml`
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```yml
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web:
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@@ -37,17 +37,21 @@ web:
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command: /bin/bash -c "envsubst < /etc/nginx/conf.d/mysite.template > /etc/nginx/conf.d/default.conf && nginx -g 'daemon off;'"
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```
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`docker-compose up -d`
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And run:
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```sh
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docker-compose up -d
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```
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You can start a Redis instance like this:
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```
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```sh
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docker run --name my-redis -d redis
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```
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Then you can inspect the running containers with:
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```
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```sh
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$ docker ps
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CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
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@@ -56,7 +60,7 @@ d295137f5965 redis "docker-entrypoint.s…" 6 seconds ago
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and attach to the running redis container to run commands with redis-cli:
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```
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```sh
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$ docker exec -it my-redis redis-cli
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127.0.0.1:6379> set example-key 1234
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OK
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@@ -35,7 +35,7 @@ GraphQL was created internally by Facebook in 2012, mainly to optimize the netwo
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Meanwhile, a GraphQL query would look like :
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```
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```graphql
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query user(id: "5") {
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id
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name
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@@ -61,7 +61,7 @@ query user(id: "5") {
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2. GraphQL helps building features faster. Because of the way the front-end can explicitly query the data it needs, it's not rare to not need to update the backend API. Again, using the example from earlier, if we wanted to also fetch the user friends, we could simply add it to our query:
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```
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```graphql
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query user(id: "5") {
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name
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posts {
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@@ -85,7 +85,7 @@ GraphQL has three types of operations:
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Basic query:
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```
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```graphql
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query User($id: ID) {
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user {
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id
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@@ -99,7 +99,7 @@ query User($id: ID) {
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Basic mutation:
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```
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```graphql
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mutation CreatePost($title: String!, $content: String!, $draft: Boolean!) {
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createPost(title: $title, content: $content, draft: $draft) {
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title
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@@ -111,9 +111,9 @@ mutation CreatePost($title: String!, $content: String!, $draft: Boolean!) {
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Basic subscription:
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```
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subscription OnMessageReceived($conversationId: ID!){
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messageReceived(conversationId: $conversationId){
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```graphql
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subscription OnMessageReceived($conversationId: ID!) {
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messageReceived(conversationId: $conversationId) {
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id
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content
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}
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@@ -124,7 +124,7 @@ At its core, GraphQL consists of two parts: client, and server.
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A server contains a single endpoint, accepting GET and POST requests, which are translated like so:
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```
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```graphql
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{
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me {
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name
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@@ -123,19 +123,19 @@ If you know python, this document may be of particular interest to you: http://n
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Common Lisp:
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```
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```clojure
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(print "Hello, World!")
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```
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Scheme:
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```
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```clojure
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(print "Hello, World!")
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```
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Clojure (as a JVM program entry point):
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```
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```clojure
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(defn -main
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"A documentation string for my hello world function"
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[& args]
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@@ -144,7 +144,7 @@ Clojure (as a JVM program entry point):
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Racket:
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```lisp
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```clojure
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#lang racket
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(println "Hello, World!")
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@@ -152,7 +152,7 @@ Racket:
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ALGOL60, as implemented in Racket (to demonstrate the flexibility offered by Racket):
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```
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```clojure
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#lang algol60
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begin
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@@ -164,7 +164,7 @@ end
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Common Lisp:
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```
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```clojure
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(let ((first (block a (write-line "first number:") (read)))
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(second (block b (write-line "second number: ") (read))))
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(format t "The sum of ~A and ~A is ~D" first second (+ first second)))
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@@ -172,7 +172,7 @@ Common Lisp:
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Scheme:
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```
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```clojure
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(let ((first (begin (display "first number:") (read)))
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(second (begin (display "second number: ") (read))))
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(format #t "The sum of ~s and ~s is ~s" first second (+ first second)))
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@@ -180,7 +180,7 @@ Scheme:
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Clojure:
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```
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```clojure
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(let [first (do (println "first number: ") (Integer/parseInt (read-line)))
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second (do (println "second number: ") (Integer/parseInt (read-line)))]
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(printf "The sum of %d and %d is %d" first second (+ first second)))
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@@ -188,7 +188,7 @@ Clojure:
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Racket:
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```lisp
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```clojure
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#lang racket
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(let ((first (begin (print "first number:")(read)))
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@@ -198,7 +198,7 @@ Racket:
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- A very basic macro in Clojure
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```
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```clojure
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;; definition - we'll take an expression, evaluate it once, print the formatted string, and then return the result
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(defmacro log-call [form]
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@@ -215,7 +215,7 @@ Racket:
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- A really simple Clojure web site using the ring and compojure libraries
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```
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```clojure
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;; define a namespace for our functions, and import routing and default request handling functions
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(ns hello-web.handler
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(:require [compojure.core :refer :all]
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@@ -234,7 +234,7 @@ Racket:
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- Memoizing pure functions in Clojure
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```
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```clojure
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(defn expensive
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[number]
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(Thread/sleep 1000)
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@@ -257,7 +257,7 @@ Racket:
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- Lazy sequences in Clojure
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```
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```clojure
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(defn fib-seq
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"Returns a lazy sequence of Fibonacci numbers. Copied from http://clojure-doc.org/articles/language/laziness.html"
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([]
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@@ -273,7 +273,7 @@ Racket:
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- Collatz sequence in Scheme
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```
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```clojure
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(define (collatz n)
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(cond
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[(equal? n 1)(format #t "1")]
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@@ -284,7 +284,7 @@ Racket:
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- FizzBuzz from 1 to n using lazy evaluation in Racket
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```lisp
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```clojure
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#lang lazy
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(define fizzes (cycle "" "" "Fizz"))
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