sualeh

Create Nice-looking Schema Diagrams in PlantUML

PlantUML is a descriptive language to generate a number of types of software diagrams, such as sequence, class, deployment and state diagrams, and many others. PlantUML does not generate very good-looking schema diagrams out of the box, but it supports themes and preprocessed macros. If you use themes and macros, you can not only use a simplified syntax, but also generate beautiful diagrams.

Here is an example of a PlantUML schema diagram, and we will build up the code to generate it.

To start, describe your schemas, tables and columns using this syntax as an example.

colinwilson

New DigitalOcean Pricing - Prices effective starting July 1, 2022

Contents

1. Basic Droplets
2. Premium Droplets (AMD & Intel)
3. CPU Optimized Droplets
4. General Purpose Droplets
5. Memory Optimized Droplets
6. Storage Optimized Droplets
7. Managed Databases

j-mao

DIAL'S ALGORITHM - PSEUDOCODE

Input:
    Source = starting location
    TimeToTravel[u, v] = how long to travel from u to v
    C = maximum possible time a single step takes (for example, 10)

Initialize Q = list of C+1 collections of locations
    If a location we want to expand has distance d, it will be stored in Q[d % (C+1)]
Initialize Expanded = an array of Booleans for the map, all false

j-mao

/*
 * Battlecode 2021
 * Pathfinding Lecture - sample code
 *
 * Bug pathing and communication strategies. Run this on the map "Quadrants" for a sense of how
 * this strategy behaves: watch the red robots in the bottom-left corner.
 *
 * https://www.battlecode.org/
 * https://github.com/battlecode/battlecode21
 */

alexellis

from flask import Flask
app = Flask(__name__)
import unicornhat as UH
import time
import os
import signal
import sys

def clear_uh():
    UH.clear()

kenmoini

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: admin-user
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
- kind: ServiceAccount

Tynael

A brief example on how to use npx to run gist based scripts.

Read the article here https://neutrondev.com/npm-vs-npx-whats-the-difference/ or watch it on YouTube https://www.youtube.com/watch?v=fSHWc8RTJug

corinneling

Node JS Web Scraper

I this is part of the first node web scraper I created with axios and cheerio. I took out all of the logic, since I only wanted to showcase how a basic setup for a nodejs web scraper would look.

const cheerio = require('cheerio'),
      axios = require('axios'),
      url = `<url goes here>`;
 

korakot

import re
import pandas as pd
from google.cloud import bigquery
from google.colab import auth

PROJECT_ID = 'sql-hunt'  # change to your own project

class BqTable:
  
  def __init__(self, table, dataset='samples', active_project='bigquery-public-data', client=None):

simonw

Datasette for Polar Bears

I found an interesting looking dataset about Polar Bear ear tag tracking on a USGS website: https://alaska.usgs.gov/products/data.php?dataid=130

I deployed it as a datasette website and API here: https://polar-bears.now.sh/

Here's how I did it:

0. Install datasette and csvs-to-sqlite: