coding-to-music

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

coding-to-music

/*
 * 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
 */

coding-to-music

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

coding-to-music

telegraf:
  image: telegraf
  restart: always
  environment:
    HOST_PROC: /rootfs/proc
    HOST_SYS: /rootfs/sys
    HOST_ETC: /rootfs/etc
  hostname: localhost
  volumes:
   - ./telegraf/telegraf.conf:/etc/telegraf/telegraf.conf:ro

coding-to-music

Docker Commands, Help & Tips

Show commands & management commands

$ docker

Docker version info

coding-to-music

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):

coding-to-music

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:

coding-to-music