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Warning

This benchmark has been misleading for a while. It was originally made to demonstrate how JIT compilers can do all sorts of crazy stuff to your code - especially LuaJIT - and was meant to be a starting point of discussion about what exactly LuaJIT does and how.

As a result, its not indicative of what its performance may be on more realistic data. Differences can be expected because

the text will not consist of hard-coded constants

#Intro

Kotlin is a new programming language for the JVM. It produces Java bytecode, supports Android and generates JavaScript. The latest version of the language is Kotlin M5.3

Kotlin project website is at kotlin.jetbrains.org.

All the codes here can be copied and run on Kotlin online editor.

Let's get started.

indylambda: Putting invokedynamic to work for Scala

Java 8 introduced lambdas to the Java language. While the design choices differ in many regards from Scala's functions, the underlying mechanics used to represent Java lambdas is flexible enough to be used as a target for the Scala compiler.

Lambdas in Java

Java does not have canonical heirarchy of generic function types (ala scala.FunctionN), but instead allows a lambda to be used as a shorthand for an anonymous implementation of an Functional Interface

Here's an example of creating a predicate that closes over one value:

Edit: This list is now maintained in the rust-anthology repo.

Introduction
Ownership
- Where Rust Really Shines
- Rust Means Never Having to Close a Socket
The Problem with Single-threaded Shared Mutability

Principled Meta Programming for Scala

This note outlines a principled way to meta-programming in Scala. It tries to combine the best ideas from LMS and Scala macros in a minimalistic design.

LMS: Types matter. Inputs, outputs and transformations should all be statically typed.
Macros: Quotations are ultimately more easy to deal with than implicit-based type-lifting
LMS: Some of the most interesting and powerful applications of meta-programming

	// List comprehension in C++11 in form of SQL-like syntax
	// Example code from http://vitiy.info/cpp11-writing-list-comprehension-in-form-of-sql/
	// Written by Victor Laskin ([email protected])

	#include <iostream>
	#include <functional>
	#include <vector>
	#include <future>
	#include <algorithm>
	using namespace std;

 # Download latest archlinux bootstrap package, see https://www.archlinux.org/download/
 wget 'ftp://ftp.nluug.nl/pub/os/Linux/distr/archlinux/iso/latest/archlinux-bootstrap-*-x86_64.tar.gz'
 # Make sure you'll have enough entropy for pacman-key later.
 apt-get install haveged
 # Install the arch bootstrap image in a tmpfs.
 mount -t tmpfs none /mnt
 cd /mnt
 tar xvf ~/archlinux-bootstrap-*-x86_64.tar.gz --strip-components=1

	object Example {
	import cats._, implicits._
	import cats.effect._
	import fs2._
	import scala.concurrent.ExecutionContext

	// start N streams concurrently, and stream their results in order
	// e.g. download a file from a server in N parts concurrently, and stream it

	abstract class Channel[F[_], A] {


	import cats.Monad
	import cats.effect.concurrent.{Ref, Semaphore}
	import cats.effect.{Concurrent, Resource}
	import cats.implicits._
	import fs2.{Pipe, Stream}
	import fs2.concurrent.{NoneTerminatedQueue, Queue}

	/** Represents the ability to enqueue keyed items into a stream of queues that emits homogenous keyed streams.
	*

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Warning

indylambda: Putting invokedynamic to work for Scala

Lambdas in Java

Principled Meta Programming for Scala

Conferences

Summer School

Books