https://set-solitaire.vercel.app
https://memorize-text.vercel.app
https://animated-timer.vercel.app
Install using Raspberry Pi Imager
https://downloads.raspberrypi.org/imager/imager_latest.exe
Be sure to customize the image, and give it WiFi access and ssh access
It takes about 3 minutes on first boot to be live
Install RPI arm-x64 Rasbian Lite OS
I didn't want to deal with translations nor with 2 GB of libraries I don't need, so my trimmed list for english + spanish fortunes was:
sudo apt install display-dhammapada fortune-anarchism fortune-mod fortunes fortunes-bofh-excuses fortunes-debian-hints fortunes-es fortunes-es-off fortunes-mario fortunes-min fortunes-off fortunes-spam haskell-misfortune tfortune tfortunes
Afterward I got this spread of topics:
$ fortune -f
Slide from: https://youtu.be/hJP5GqnTrNo?feature=shared&t=740
GPT-4 clearly has the capability, but the context you give it matters a lot!
We have:
In case you hadn't heard, scoop
is the cool new package manager on the block for Windows painless installs... displacing chocolatey
in the case you don't want to rely on admin console windows, or if you don't have admin on the box you are working on.
In a powershell window, run:
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
Invoke-RestMethod -Uri https://get.scoop.sh | Invoke-Expression
So here are two options I see for MX + SMTP on aws: https://docs.aws.amazon.com/workmail/latest/adminguide/howto-start.html 4$ per user per month managed aws service.
https://speedkills.io/email-server-aws/ ec2 instance install postfix + letsencrypt + dovecot + roundcube and other things to get a ubuntu system to handle MTA and SMTP with a basic webmail client with it.
Here’s a marketplace item for the preconfigured postfix setup: https://aws.amazon.com/marketplace/pp/prodview-7lthtvl7jhclu#pdp-pricing
import pandas as pd | |
from icalendar import Calendar, Event, vText, vDatetime | |
from datetime import datetime, timedelta | |
import pytz | |
print("starting conversion") | |
# Load CSV file | |
df = pd.read_csv('C:\\Users\\user\\outlook\\calendar.CSV') # Update the path accordingly | |
def parse_datetime(date_str, time_str, all_day): |