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@jtemporal
jtemporal / jesstemporal.zsh-theme
Last active August 29, 2025 12:39
Robby Russel modified version
# modified from robby russel's
# theme location on Codespaces: ~/.oh-my-zsh/themes
# touch ~/.oh-my-zsh/themes/jesstemporal.zsh-theme
PROMPT="%(?:%{$fg_bold[green]%}➜ :%{$fg_bold[red]%}➜ )%{$fg[black]%}%c%{$reset_color%}"
PROMPT+=' $(git_prompt_info)'
PROMPT+="
%(?:%{$fg_bold[green]%}➜ $ :%{$fg_bold[red]%}➜ $ )%{$reset_color%}"
ZSH_THEME_GIT_PROMPT_PREFIX="%{$fg_bold[blue]%}git:(%{$fg[red]%}"
ZSH_THEME_GIT_PROMPT_SUFFIX="%{$reset_color%} "
@jtemporal
jtemporal / vercel-integration.md
Created June 18, 2024 14:20 
sequenceDiagram
    autonumber
    Vercel->>Vercel: <br>
    Note right of Vercel: Click on the <br>Auth0 integration
    Vercel->>Auth0: <br>You are redirected to <br>Auth0 to authenticate
    Note right of Vercel:  Vercel never sees <br>your Auth0 credentials
    Auth0-->Auth0: 
    Note right of Auth0: If you are new to Auth0<br>your tenant is <br>bootstraped for you 
 %% Auth0-&gt;&gt;Auth0:
@jtemporal
jtemporal / test.css
Created June 18, 2024 14:15
.note {
stroke: #decc93 !important;
fill: #fff5ad !important;
}
@jtemporal
jtemporal / tictactoe.py
Created April 3, 2024 21:23
Updated tic tac toe from https://www.youtube.com/watch?v=jPWTEd9F2QY
import time, math
import badger2040
import badger_os
# Global Constants
WIDTH = badger2040.WIDTH
HEIGHT = badger2040.HEIGHT
# Tic-Tac-Toe / Noughts and Crosses game
@jtemporal
jtemporal / script.py
Created January 7, 2024 01:32
Script to update exif data from .jpeg files
"""
This script will automatically pick up on all JPG files in a folder
requirements.txt
piexif==1.1.3
pillow==10.2.0
"""
@jtemporal
jtemporal / iris_kmeans.py
Created March 5, 2019 22:38
import seaborn as sns
from sklearn.cluster import KMeans
# preparando nossos dados
iris = sns.load_dataset('iris')
df = iris.drop('species', axis=1)
# calculando a soma dos quadrados para as 19 quantidade de clusters
@jtemporal
jtemporal / optimal_number_of_clusters.py
Last active February 16, 2023 00:49
def optimal_number_of_clusters(wcss):
x1, y1 = 2, wcss[0]
x2, y2 = 20, wcss[len(wcss)-1]
distances = []
for i in range(len(wcss)):
x0 = i+2
y0 = wcss[i]
numerator = abs((y2-y1)*x0 - (x2-x1)*y0 + x2*y1 - y2*x1)
denominator = sqrt((y2 - y1)**2 + (x2 - x1)**2)
@jtemporal
jtemporal / calculate_wcss.py
Last active February 16, 2023 00:49
def calculate_wcss(data):
wcss = []
for n in range(2, 21):
kmeans = KMeans(n_clusters=n)
kmeans.fit(X=data)
wcss.append(kmeans.inertia_)
return wcss
@jtemporal
jtemporal / out-operator-mongodb.js
Created September 26, 2022 23:06
/**
* $out
* Provide the name of the output collection.
*/
'augustmoviescomments'
@jtemporal
jtemporal / lookup-query-mongodb.js
Created September 26, 2022 22:31
/**
* $lookup
* from: The target collection.
* localField: The local join field.
* foreignField: The target join field.
* as: The name for the results.
* pipeline: The pipeline to run on the joined collection.
* let: Optional variables to use in the pipeline field stages.
*/
{