Richard Littauer RichardLitt

Business models for the decentralized Web

SUB-GROUP 1 w/ Ade

Why are centralied models so popular?

historical
lower cost per transaction

OrbitDB v0.22

It's a lot faster and there are more cool options

We're releasing v0.22 today! The last release was on [TR], and the OrbitDB team has been working hard since then to make sure that this next release makes OrbitDB faster, easier, and more delightful to work with. Here's the tl;dr:

Significant performance improvements (by significant, we mean 10x)
Better concurrency across the board
Lots of small bug fixes and a few option improvements

	# Import these libraries
	# In order to run this, make sure to run pip install pytaxize first.
	from pytaxize import itis

	# List of TSNs (Taxonomic Serial Numbers)
	# THis was a list of TSNs from a paper I had to review. I had to check them against ITIS,
	# a register of scientific names. Then I made a loop that looked up each ITIS id and checked
	# the scientitic name.
	tsns = [
	180559, 174371, 180544, 180582, 180599, 183798, 183838, 726821, 1086061,

	import csv

	# Specify the file name
	# This file is 33,0000 lines long!
	file_name = 'clements.csv'

	# List to store the extracted genera
	genera = []

	# Open the CSV file

	import numpy as np
	import matplotlib.pyplot as plt
	from sklearn import datasets

	# Load Iris dataset
	iris = load_penguins()

	# Set up the figure size and subplots
	fig, axarr = plt.subplots(4, 4, figsize=(12, 12)) # 4x4 grid for 4 features

	# Load necessary library
	library(httr)

	# Retrieve the eBird API Token from the environment variable
	ebird_api_token <- Sys.getenv("EBIRD_API_TOKEN")

	# Check if the token is not empty
	if (nzchar(ebird_api_token) == FALSE) {
	stop("eBird API token not found. Please make sure EBIRD_API_TOKEN is set.")
	}

	season,year,detector,species,site,date,recording_start,recording_length,detection_time,real_detection_time,real_detection_time,rounded_to_half_hour,duplicate,sunset,civil_dusk,nautical_dusk,astronomical_dusk,astronomical_dawn,nautical_dawn,civil_dawn,sunrise,moon_altitude,moon_illumination
	Spring,2023,,passeriformes,Queens,05/01/23,01:00:00,0:29:55,0:10:02,07:10:02,05/02/23 07:10:02,07:00:00,no,05/01/23 19:51:42,05/01/23 20:21:29,05/01/23 20:57:51,05/01/23 21:37:14,05/02/23 04:07:43,05/02/23 04:47:06,05/02/23 05:23:27,05/02/23 05:53:13,-29.0,88.8
	Spring,2023,,savs,Queens,05/01/23,01:30:00,0:29:55,0:17:53,07:47:52,05/02/23 07:47:52,08:00:00,no,05/01/23 19:51:42,05/01/23 20:21:29,05/01/23 20:57:51,05/01/23 21:37:14,05/02/23 04:07:43,05/02/23 04:47:06,05/02/23 05:23:27,05/02/23 05:53:13,-34.8,88.9
	Spring,2023,,savs,Queens,05/01/23,01:30:00,0:29:55,0:17:55,07:47:54,05/02/23 07:47:54,08:00:00,yes,05/01/23 19:51:42,05/01/23 20:21:29,05/01/23 20:57:51,05/01/23 21:37:14,05/02/23 04:07:43,05/02/23 04:47:06,05/02/23 05

	globals:
	annotation_name: Classification
	annotation_scope: Selection

	commands:

	">": [show_next_page]
	"<": [show_previous_page]
	".": [select_next_clip]
	",": [select_previous_clip]

	# This script grabs totals for contributors for the OrbitDB organization for a three month period.
	# It needes to be edited, but keeping this here for next time should save some life.
	# This could easily be extended elsewhere.

	# npm i -g name-your-contributors
	# You will also need to have [`jq`](https://stedolan.github.io/jq/download/) installed.
	# brew install jq

	# Fix these to match the current month
	# TODO Automate monthly so you don't need to do 'before' and 'after'

	21:00 ~ 🦉 cat testfile \| xargs -n1 npm-name
	⚠ 1 is squatted
	✖ 2 is unavailable
	✖ 3 is unavailable
	⚠ 4 is squatted
	⚠ 5 is squatted
	⚠ 6 is squatted
	⚠ 7 is squatted
	⚠ 8 is squatted
	⚠ 9 is squatted