debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

davidmreed

import jwt
import requests
import datetime
from simple_salesforce import Salesforce
from simple_salesforce.exceptions import SalesforceAuthenticationFailed

def jwt_login(consumer_id, username, private_key, sandbox=False):
    endpoint = 'https://test.salesforce.com' if sandbox is True else 'https://login.salesforce.com'
    jwt_payload = jwt.encode(
        { 

clumma

Thermoeconomics

last update: 2022-11-12

Garrett model

1. How persistent is civilization growth? (Garrett 2011)
2. Can we predict long-run economic growth? (Garrett 2012)
3. Modes of growth in dynamic systems (Garrett 2012)
4. Thermodynamics of long-run economic innovation and growth (Garrett 2013)