Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
![Screenshot 2023-12-18 at 10 40 27 PM](https://private-user-images.githubusercontent.com/3837836/291468646-4c30ad72-76ee-4939-a5fb-16b570d38cf2.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MjE3NDE2NDgsIm5iZiI6MTcyMTc0MTM0OCwicGF0aCI6Ii8zODM3ODM2LzI5MTQ2ODY0Ni00YzMwYWQ3Mi03NmVlLTQ5MzktYTVmYi0xNmI1NzBkMzhjZjIucG5nP1gtQW16LUFsZ29yaXRobT1BV1M0LUhNQUMtU0hBMjU2JlgtQW16LUNyZWRlbnRpYWw9QUtJQVZDT0RZTFNBNTNQUUs0WkElMkYyMDI0MDcyMyUyRnVzLWVhc3QtMSUyRnMzJTJGYXdzNF9yZXF1ZXN0JlgtQW16LURhdGU9MjAyNDA3MjNUMTMyOTA4WiZYLUFtei1FeHBpcmVzPTMwMCZYLUFtei1TaWduYXR1cmU9MzcwY2JiYTQ3NmZiNDljZTNkM2VmODQ4YTk1MzZiMDI2MWFkOGIwN2RmZTdiODY4YTlhOTczYzM5ZDdiZTRlMyZYLUFtei1TaWduZWRIZWFkZXJzPWhvc3QmYWN0b3JfaWQ9MCZrZXlfaWQ9MCZyZXBvX2lkPTAifQ.Mnd0fOFMDw8U43pFGx9Rimw6XOOUoobvOmIvIqwi674)
#!/usr/bin/env python | |
# encoding: utf-8 | |
import tweepy #https://github.com/tweepy/tweepy | |
import csv | |
#Twitter API credentials | |
consumer_key = "" | |
consumer_secret = "" | |
access_key = "" |
Kaffelista på vilka som köpt kaffe. | |
Joel 2 paket Gevalia |
#!/usr/bin/env python3 | |
# Download your data dump and place this file in the "messages" folder of your data dump. | |
# Run it using python | |
from datetime import datetime, timedelta, timezone | |
import dateutil.parser | |
import matplotlib.pyplot as plt | |
import matplotlib.ticker as ticker | |
import matplotlib.dates as mdates | |
import csv |