prologic

Learn Go in ~5mins

This is inspired by A half-hour to learn Rust and Zig in 30 minutes.

Basics

Your first Go program as a classical "Hello World" is pretty simple:

First we create a workspace for our project:

MineRobber9000

###########################################################
# How to NEVER use lambdas. An inneficient and yet educa- #
# tonal [sic] guide to the proper misuse of the lambda    #
# construct in Python 3.x.  [DO NOT USE ANY OF THIS EVER] #
#          original by (and apologies to): e000 (13/6/11) #
#           now in Python 3 courtesy of: khuxkm (17/9/20) #
###########################################################

## Part 1. Basic LAMBDA Introduction ##
# If you're reading this, you've probably already read e000's

brookisme

import itertools
from multiprocessing import Process, cpu_count
from multiprocessing import Pool
from multiprocessing.pool import ThreadPool


#
# CONFIG
#
MAX_POOL_PROCESSES=cpu_count()-1

benzap

;; In response to blog post:

;; https://medium.com/@kasperpeulen/10-features-from-various-modern-languages-that-i-would-like-to-see-in-any-programming-language-f2a4a8ee6727

;; Run with lumo
;; https://github.com/anmonteiro/lumo
;; 
;; # npm install -g lumo-cljs
;; lumo clojurescript-feature-examples.cljs

marwei

Kafka 0.11.0.0 (Confluent 3.3.0) added support to manipulate offsets for a consumer group via cli kafka-consumer-groups command.

1. List the topics to which the group is subscribed

kafka-consumer-groups --bootstrap-server <kafkahost:port> --group <group_id> --describe

Note the values under "CURRENT-OFFSET" and "LOG-END-OFFSET". "CURRENT-OFFSET" is the offset where this consumer group is currently at in each of the partitions.

2. Reset the consumer offset for a topic (preview)

evillemez

package main

import (
	"crypto/rand"
	"fmt"
	"math/big"
	"os"
	"sync"
	"time"
)

keberwein

library(plyr); library(dplyr); library(leaflet); library(stringi);
library(htmltools); library(RColorBrewer); library(rvest)

# Parse and read storm track data.
html <- read_html('http://weather.unisys.com/hurricane/atlantic/2016/index.php')
links <- html_attr(html_nodes(html, "a"), "href")
links <- links[grep('track.dat', links)]

track <- select.list(links, title="Select storm:", graphics = FALSE)
#track <- "MATTHEW/track.dat"

longcao

import java.io.InputStream

import org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils
import org.apache.spark.sql.{ DataFrame, Row }

import org.postgresql.copy.CopyManager
import org.postgresql.core.BaseConnection

val jdbcUrl = s"jdbc:postgresql://..." // db credentials elided
val connectionProperties = {

fntlnz

Install i3

dnf install i3

Add exec i3 to xinitrc

echo "exec i3" > ~/.xinitrc

lloeki

#!/bin/bash
# unfortunately debian currently panics in xhyve

tmp=$(mktemp -d)
pushd "$tmp"

iso="$HOME"/Downloads/debian-8.1.0-amd64-netinst.iso
#iso="$HOME"/Downloads/debian-8.1.0-i386-netinst.iso
echo "fixing disk"
dd if=/dev/zero bs=2k count=1 of=tmp.iso