smitelli

# Klein Tools TI250 image tool by Scott Smitelli. Public domain.
# Requires at least Python 3.6 (developed and tested on 3.9)
# See https://www.scottsmitelli.com/articles/klein-tools-ti250-hidden-worlds

import argparse
import numpy as np
import re
import struct
from PIL import Image, ImageDraw

ttesmer

{-# LANGUAGE TypeSynonymInstances #-}
data Dual d = D Float d deriving Show
type Float' = Float

diff :: (Dual Float' -> Dual Float') -> Float -> Float'
diff f x = y'
  where D y y' = f (D x 1)

class VectorSpace v where
  zero  :: v

rroohhh

We fit a exponential function for $f$: $f(V) = a \exp(V / s)$ and obtain $a \approx 0.02485702\ \mathrm{A}$ and $s \approx 0.229551831\ \mathrm{V}$. With this the deviation from the measured values from the total model $P(V) = 414\ \mathrm{mW} + V · 130 · f(V)$ is always below $8 \ \mathrm{mW}$, indeed it is atmost $\approx 3.19\ \mathrm{mW}$ and on average $\approx 1.28\ \mathrm{mW}$.

When not taking a fixed offset of $414\ \mathrm{mW}$, but instead also leave this as a variable of the fit, we obtain $\approx 412.3\ \mathrm{mW}$ for the offset, $a \approx 0.0249451511\ \mathrm{A}$ and $s \approx 0.229653915\ \mathrm{V}$ with a maximum error of $\approx 2.28\ \mathrm{mW}$ and a average error of $\approx{0.74}\ \mathrm{mW}$.

digitalcampbell

library(tidyverse)
library(jsonlite)
library(splitstackshape)
library(RColorBrewer)

# pull daily temperature from https://climatereanalyzer.org/clim/t2_daily/
temp_json <- fromJSON("https://climatereanalyzer.org/clim/t2_daily/json/cfsr_world_t2_day.json")

# create dataframe
temp <- as.data.frame(temp_json) %>% 

tonybaloney

"""
Testing on CPython3.13a1+

Requires some recent patches from main.
pip install hypercorn

Have successfully run the following apps:
- fastapi==0.99.0
- Flask
"""

hackermondev

hi, i'm daniel. i'm a 15-year-old with some programming experience and i do a little bug hunting in my free time. here's the insane story of how I found a single bug that affected over half of all Fortune 500 companies:

say hello to zendesk

If you've spent some time online, you’ve probably come across Zendesk.

Zendesk is a customer service tool used by some of the world’s top companies. It’s easy to set up: you link it to your company’s support email (like [email protected]), and Zendesk starts managing incoming emails and creating tickets. You can handle these tickets yourself or have a support team do it for you. Zendesk is a billion-dollar company, trusted by big names like Cloudflare.

Personally, I’ve always found it surprising that these massive companies, worth billions, rely on third-party tools like Zendesk instead of building their own in-house ticketing systems.

your weakest link