vi

Let's list here crates that enhance Rust as a language.

It not "batteries" like in stdx, but Rust-specific crates for workarounds for various missing features and experimental ideals from non-accepted/postponed RFCs, or just hacky tricks.

The list is supposed to contain (mostly) crates that are internal to Rust, not ones for making Rust deal with "external world" like other languages bindings, file formats, protocols and so on.

Primary focus should be on crates that are not easy to find by conventional means (e.g. no algorithm name, format or protocol to search for).

Note that quality of the listed crates may vary from proof-of-concept to stable-and-widely-used.

Savelenko

[<EntryPoint>]
let main argv =
    printfn "Should be zero (netWeight emptyPallet): %A" Stock.shouldBeZero
    printfn "harvesterPartsWeight: %A" Stock.harvesterPartsWeight
    printfn "grossWeight harvesterParts: %A" (Stock.grossWeight Stock.harvesterParts)
    printfn "grossWeight emptyPallet: %A" (Stock.grossWeight Stock.emptyPallet)
    printfn "netWeight harvesterParts: %A" (Stock.netWeight Stock.harvesterParts)
    printfn "value harvesterParts: %A" (Stock.value Stock.harvesterParts)
    printfn "boxLabels harvesterParts: %A" (Stock.boxLabels Stock.harvesterParts)
    printfn "boxLabels emptyPallet: %A" (Stock.boxLabels Stock.emptyPallet)

Horusiath

open System

[<Struct>] type Effect<'env, 'out> = Effect of ('env -> Async<'out>)

[<RequireQualifiedAccess>]
module Effect =

    /// Create value with no dependency requirements.
    let inline value (x: 'out): Effect<'env,'out> = Effect (fun _ -> async.Return x)
    /// Create value which uses depenendency.

Horusiath

module Program =
        
    type InMemoryDb(replica: ReplicaId) =
        let snapshot = ref null
        let mutable events : Map<uint64,obj> = Map.empty
        interface Db with
            member _.SaveSnapshot state = async { snapshot := (box state) } 
            member _.LoadSnapshot<'s>() = async {
                match !snapshot with

graninas

An Opinionated Comparison of Software Design Approaches in Haskell

| | Raw IO | Free Monads; Church Encoded Free Monads | Final Tagless / mtl | Effect Systems | ReaderT

ckelner

Understanding Kubernetes in 10 minutes

Original document can be found here; written by Mike Schuette.

This document provides a rapid-fire overview of Kubernetes concepts, vocabulary, and operations. The target audience is anyone who runs applications in a cloud environment today, and who wants to understand the basic mechanics of a Kubernetes cluster. The goal is that within 10 minutes, managers who read this should be able to listen in on a Kubernetes conversation and follow along at a high level, and engineers should be ready to deploy a sample app to a toy cluster of their own.

This orientation doc was written because the official Kubernetes docs are a great reference, but they present a small cliff to climb for newcomers.

If you want to understand why you should consider running Kubernetes, see the official Kubernetes conceptual overview document. This doc

WintersMichael

Understanding Kubernetes in 10 minutes

This document provides a rapid-fire overview of Kubernetes concepts, vocabulary, and operations. The target audience is anyone who runs applications in a cloud environment today, and who wants to understand the basic mechanics of a Kubernetes cluster. The goal is that within 10 minutes, managers who read this should be able to listen in on a Kubernetes conversation and follow along at a high level, and engineers should be ready to deploy a sample app to a toy cluster of their own.

This orientation doc was written because the official Kubernetes docs are a great reference, but they present a small cliff to climb for newcomers.

If you want to understand why you should consider running Kubernetes, see the official Kubernetes conceptual overview document. This document is intended to complement that one, but one layer deeper.

For a deep dive, see [Kubernetes concepts](https://kubernetes.io/docs/co

postandcourier

# Script to geocode many items
# Modified by J Emory Parker
# Aug 25 2016
# Based on script originally by Shane Lynn
# http://www.shanelynn.ie/massive-geocoding-with-r-and-google-maps/

#load up the ggmap library
library(ggmap)

# get the input data

Swoorup

from struct import unpack
from cStringIO import StringIO

class SAPath():
	def __init__(self, node):
		self.path = StringIO(open(node, "rb").read())
		self.header = {}
		self.pathnodes = []
		self.navinodes = []
		self.links = []

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

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This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

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