enricofoltran

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

djspiewak

Quick Tips for Fast Code on the JVM

I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.

This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea

timvisee

Falsehoods programmers believe about time

This is a compiled list of falsehoods programmers tend to believe about working with time.

Don't re-invent a date time library yourself. If you think you understand everything about time, you're probably doing it wrong.

Falsehoods

• There are always 24 hours in a day.
• February is always 28 days long.
• Any 24-hour period will always begin and end in the same day (or week, or month).

simonw

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

swannodette

Externs Inference

Integrating third party JavaScript libraries not written with Google Closure Compiler in mind continues to both be a source of error for users when going to production, and significant vigilance and effort for the the broader community (CLJSJS libraries must provide up-to-date and accurate externs).

In truth writing externs is far simpler than most users imagine. You only need externs for the parts of the library you actually intend to use from ClojureScript. However this isn't so easy to determine from Closure's own documentation. Still in the process of writing your code it's easy to miss a case. In production you will see the much dreaded error that some mangled name does not exist. Fortunately it's possible to enable some compiler flags :pretty-print true :pseudo-names true to generate an advanced build with human readable names. However debugging missing externs means compiling your production build for each missed case. So much time wasted for such simple mistakes damages our sen

alekseykulikov

Recently CSS has got a lot of negativity. But I would like to defend it and show, that with good naming convention CSS works pretty well.

My 3 developers team has just developed React.js application with 7668 lines of CSS (and just 2 !important). During one year of development we had 0 issues with CSS. No refactoring typos, no style leaks, no performance problems, possibly, it is the most stable part of our application.

Here are main principles we use to write CSS for modern (IE11+) browsers:

• SUIT CSS naming conventions + SUIT CSS design principles;
• PostCSS + CSSNext. Future CSS syntax like variables, nesting, and autoprefixer are good enough;
• Flexbox is awesome. No need for grid framework;
• Normalize.css, base styles and variables are solid foundation for all components;

danielrw7

#!/bin/sh

command="${*}"
printf "Initialized REPL for `%s`\n" "$command"
printf "%s> " "$command"
read -r input
while [ "$input" != "" ];
do
    eval "$command $input"
    printf "%s> " "$command"

joepie91

Don't use VPN services.

No, seriously, don't. You're probably reading this because you've asked what VPN service to use, and this is the answer.

Note: The content in this post does not apply to using VPN for their intended purpose; that is, as a virtual private (internal) network. It only applies to using it as a glorified proxy, which is what every third-party "VPN provider" does.

• A Russian translation of this article can be found here, contributed by Timur Demin.
• A Turkish translation can be found here, contributed by agyild.
• There's also this article about VPN services, which is honestly better written (and has more cat pictures!) than my article.

17twenty

package main
import (
	"./binding"
	"fmt"
)

func main() {
	binding.PrintHello()
	binding.Seed(1)
	fmt.Println(binding.Random())

dmvaldman

Descartes, Berkeley and Functional Reactive Programming

By @dmvaldman

Functional Reactive Programming (FRP) is generating buzz as an alternative to Object Oriented Programming (OOP) for certain use cases. However, an internet search quickly leads a curious and optimistic reader into the rabbit-hole of monads, functors, and other technical jargon. I’ve since emerged from this dark and lonely place with the realization that these words are mere implementation details, and that the core concepts are far more universal. In fact, the groundwork was laid down many centuries before the first computer, and has more to do with interpretations of reality, than structuring programs. Allow me to explain.

There’s an old thought experiment that goes like this: