jkone27

#r "nuget: FSharp.Data"
#r "nuget: EluciusFTW.SpectreCoff"

open FSharp.Data
open SpectreCoff

type ``💁`` =
    // just create your own google sheet and publish it from File menu, select CSV
    // or use any other CSV, this works with any valid csv published in url or in your file system
    CsvProvider<"https://docs.google.com/spreadsheets/d/e/GOOGLEKEYBLABLABLABLABLA/pub?output=csv">

jkone27

#r "nuget: Fli"

open Fli
open System

open System

let isHelpRequested = fsi.CommandLineArgs |> Seq.contains "--h"

[<Literal>]

luisquintanilla

#r "nuget:Microsoft.ML"
#r "nuget:Microsoft.ML.OnnxRuntime"
#r "nuget:Microsoft.ML.OnnxTransformer"
#r "nuget:Microsoft.ML.ImageAnalytics"
#r "nuget:System.Drawing.Common"

open System.IO
open System.Drawing
open Microsoft.ML
open Microsoft.ML.Data

shanselman

{
    "final_space": true,
    "console_title": true,
    "console_title_style": "folder",
    "blocks": [
        {
            "type": "prompt",
            "alignment": "left",
            "horizontal_offset": 0,
            "vertical_offset": 0,

kauffmanes

Thanks everyone for commenting/contributing! I made this in college for a class and I no longer really use the technology. I encourage you all to help each other, but I probably won't be answering questions anymore.

This article is also on my blog: https://emilykauffman.com/blog/install-anaconda-on-wsl

Note: $ denotes the start of a command. Don't actually type this.

Steps to Install Anaconda on Windows Ubuntu Terminal

1. Install WSL (Ubuntu for Windows - can be found in Windows Store). I recommend the latest version (I'm using 18.04) because there are some bugs they worked out during 14/16 (microsoft/WSL#785)
2. Go to https://repo.continuum.io/archive to find the list of Anaconda releases
3. Select the release you want. I have a 64-bit computer, so I chose the latest release ending in x86_64.sh. If I had a 32-bit computer, I'd select the x86.sh version. If you accidentally try to install the wrong one, you'll get a warning in the terminal. I chose `Anaconda3-5.2.0-Li

Tset-Noitamotua

"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"
"                                                                              "
"                       __   _ _ _ __ ___  _ __ ___                            "
"                       \ \ / / | '_ ` _ \| '__/ __|                           "
"                        \ V /| | | | | | | | | (__                            "
"                         \_/ |_|_| |_| |_|_|  \___|                           "
"                                                                              "
"                                                                              "
"++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"

dejuata

#include <cstdlib>
#include <iostream>
#include <stdlib.h>
#include <time.h>

#define length(x) (sizeof(x)/sizeof(x[0]))

using namespace std;

int convolucion ()

aras-p

// Just before switching jobs:
// Add one of these.
// Preferably into the same commit where you do a large merge.
//
// This started as a tweet with a joke of "C++ pro-tip: #define private public",
// and then it quickly escalated into more and more evil suggestions.
// I've tried to capture interesting suggestions here.
//
// Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_,
// @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant,

mathias-brandewinder

// This F# dojo is directly inspired by the 
// Digit Recognizer competition from Kaggle.com:
// http://www.kaggle.com/c/digit-recognizer
// The datasets below are simply shorter versions of
// the training dataset from Kaggle.
 
// The goal of the dojo will be to
// create a classifier that uses training data
// to recognize hand-written digits, and
// evaluate the quality of our classifier