wheresalice

openapi: 3.0.1
info:
  title: Schema Registry
  version: 5.2.1
  description: Schema Registry provides a serving layer for your metadata. It provides a RESTful interface for storing and retrieving Avro schemas. It stores a versioned history of all schemas, provides multiple compatibility settings and allows evolution of schemas according to the configured compatibility settings and expanded Avro support. It provides serializers that plug into Apache Kafka® clients that handle schema storage and retrieval for Kafka messages that are sent in the Avro format.
externalDocs:
  url: >-
    https://docs.confluent.io/current/schema-registry/develop/api.html#schemaregistry-api
  description: Confluent's API reference
paths:

wheresalice

openapi: 3.0.1
info:
  title: REST Proxy API
  description: >-
    The Confluent REST Proxy provides a RESTful interface to a Kafka cluster, making it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients.
    <p>Some example use cases are</p>
    <ul>
    <li>Reporting data to Kafka from any frontend app built in any language not supported by official Confluent clients</li>
    <li>Ingesting messages into a stream processing framework that doesn’t yet support Kafka</li>
    <li>Scripting administrative actions</li>

wheresalice

require 'json'

def degrees(point)
  point.abs.to_i
end

def minutes(point)
  (point.abs * 60).to_i % 60
end

wheresalice

test:
	gcc test.c -o test

wheresalice

library(prophet)

# mysql -e "select distinct(CAST(CREATED AS DATE)) C, COUNT(*) from jira.jiraissue WHERE project=1 AND reporter='alice' group by C;" -N -B > jira.txt

jira <- read.delim('jira.txt', header=FALSE)
dates <- as.POSIXct(strptime(jira$V1, "%Y-%m-%d"))
jira_with_dates <-data.frame(dates, jira['V2'])

names(jira_with_dates) = c("ds", "y")

wheresalice

• Akbars - ££ - Indian
• Almost Famous (not vegie-friendly) - ££ - Hamburger restaurant
• Bundobust - ££ - Indian
• Fisherman's Wife - £ - Fish & Chips
• Fuji Hiro - ££ - Japanese
• Hansas - ££ - Vegetarian
• Home - ££££ - British restaurant
• Ibérica - £££ - Spanish
• Ira B's (Moor Allerton) - ££ - Deli Snack Bar
• Issho - £££ - Japaese

wheresalice

# Usage: change username:password to either an app-password or your actual password
# Change WheresAlice to your actual username on Bitbucket.org
# Run this script from the directory with all your GitHub checkouts in

# @TODO - Due to Mac limitations of 'find' we are listing all files, not just directories
# @TODO - Get a list of GitHub repos and clone them all
# @TODO - Do this for GitLab too

# Replace my_token with a token from https://github.com/settings/tokens and then uncomment this line in order to clone the first 100 of your github repositories
# curl 'https://api.github.com/user/repos?access_token=my_token&affiliation=owner&per_page=100' | gron | grep ssh_url | cut -d'"' -f2 | xargs -I {} git clone {}

wheresalice

wheresalice

require 'open-uri'
require 'nokogiri'

BASE_PATH = ARGV[0].freeze

@repomd = Nokogiri::XML(open(File.join(BASE_PATH, 'repomd.xml')).read)

def test_path(type)
  href = @repomd.xpath("/xmlns:repomd/xmlns:data[@type=\"filelists\"]/xmlns:location").first['href']
  full_path = File.join(File.dirname(BASE_PATH), href)

wheresalice

Excuses for train delays, using multi-layer Recurrent Neural Network for training/sampling from character-level language models.

Code: https://github.com/karpathy/char-rnn Source data: https://wiki.openraildata.com/index.php/Delay_Attribution_Guide Docker packaging: https://github.com/mbartoli/docker-char-rnn

Future Work

• Repeat this at word-level
• Tweak paramaters for training