taruma

/*
feidlambda v0.4.0 - LOGIC / UTILITIES FUNCTIONS BY FIAKO ENGINEERING
OFFICIAL GIST (feidlambda v0.4.x): 
    https://gist.github.com/taruma/b4df638ecb7af48ab63691951481d6b2
REPOSITORY: 
    https://github.com/fiakoenjiniring/feidlambda
CONTRIBUTOR: @taruma, @iingLK
TESTED: Microsoft Excel 365 v2304
*/

taybenlor

use std::io::Read;
use std::{env, fs, io};

fn main() {
    let filename = env::args().nth(1).expect("no filename provided");

    let stdin = io::stdin();
    let mut buf = String::new();
    stdin
        .lock()

simonw

Datasette tutorial written by GPT3

Prompt: a step by step tutorial for getting started with Datasette

This is a guide for getting started with Datasette. Datasette is a tool for creating and publishing data-driven websites. It is designed to make it easy to publish structured data, such as the results of a database query, in a way that is highly visible and interactive.

Datasette can be used to create websites that allow users to explore and visualize data, or to build applications that expose data via APIs. It can also be used as a static site generator, creating a completely static HTML website that can be deployed anywhere.

This guide will cover the basics of how to install and use Datasette. It will also show you how to create a simple data-driven website using Datasette.

miguel-leon

ORGANIZATION

1. starting the repository
2. configuring the repository
3. work in progress
4. improving code
5. finishing code
6. fixing code
7. updating code

OlivierLDff

Open git bash with admin privilege.

cd "C:/Program Files/Git/usr/share/mintty"
mkdir -p emojis
cd emojis
curl https://raw.githubusercontent.com/wiki/mintty/mintty/getemojis > getemojis
./getemojis -d

kepano

javascript: Promise.all([import('https://unpkg.com/[email protected]?module'), import('https://unpkg.com/@tehshrike/[email protected]'), ]).then(async ([{
    default: Turndown
}, {
    default: Readability
}]) => {

  /* Optional vault name */
  const vault = "";

  /* Optional folder name such as "Clippings/" */

Denbergvanthijs

import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from matplotlib.animation import FuncAnimation
from tensorflow.keras.layers import Conv2D, InputLayer, Layer
from tensorflow.keras.models import Sequential

size = 128
n_frames = 240
full_size = (1, size, size, 1)

Potherca

# Sources used in figuring this out:
#
# - https://developer.mozilla.org/en-US/docs/WebAssembly/C_to_wasm
# - https://emscripten.org/docs/compiling/Building-Projects.html#building-projects

# Set up Emscripten SDK
git clone https://github.com/emscripten-core/emsdk.git
cd emsdk/
./emsdk install latest
./emsdk activate latest

mbigras

Nested code blocks

Nested code blocks organize technical documentation; but rendering them in Markdown is tricky. Luckily GitHub worked around the vague specification by making 4 space indentation "just work".

Overview

Google Cloud Platform (GCP) technical documentation is formatted well enough; however, emulating that format in Markdown is tricky.

The following are the main organizational and formatting features about GCP documentation which I like:

olekstomek

Zacznij diagnostykę

AppCode:	com.gosund.smart
AppName:	com.gosund.smart
AppVersion:	3.12.2
Device type:	Xiaomi:Xiaomi:MI 9
System version:	10
Mobile operator:	Orange
ISOCountryCode:	pl
MobileCountryCode: