ahmed2m

https://colab.research.google.com/drive/1Ff9X-bh3F_sYyDluTnVeFmisUTpy1RHn#scrollTo=512c6d47

https://github.com/maria-violaris/quantum-paradoxes/blob/main/quantum-zeno-effect.ipynb

https://docs.google.com/presentation/d/1S1xOXbZSntJ1qCf0CXHNG3mdGDtZ5IyrxqNdrC8fHsg/edit?usp=sharing

ahmed2m

import requests

user="user"
repo="repo"
token="token"
url = f"https://api.github.com/repos/{user}/{repo}/dispatches"
payload = {"event_type": "awesomeness", "client_payload": {"foo": "bar"}}
header = {"Accept": "application/vnd.github.everest-preview+json", "Authorization": f"token {token}"}
resp = requests.post(url=url, headers=header, json=payload)

ahmed2m

/*

   IF YOU WANT TO UPLOAD ONE FILE, USE THE CODE BELOW. 
   SEE THE BOTTOM OF THE GIST TO SEE HOW TO UPLOAD MULTIPLE FILES.
        
   HERE'S AN EXAMPLE SOMEONE MADE USING CLOUDINARY: https://gist.github.com/jamielob/5c1a5dc84e50e4507b71299d993dffec

*/

ahmed2m

[
  {
    "iIndex": 2598,
    "sQuestion": "A writing workshop enrolls novelists and poets in a ratio of 5 to 3. There are 24 people at the workshop. How many novelists are there? How many poets are there?",
    "lEquations": [
      "3.0*novelists=5.0*poets",
      "novelists+poets=24.0"
    ],
    "lSolutions": [
      15.0,

ahmed2m

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This line configures matplotlib to show figures embedded in the notebook, \n",
    "# instead of poping up a new window. More about that later. \n",

ahmed2m

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.optimize import linprog\n",
    "from scipy.optimize import Bounds\n",

ahmed2m

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This line configures matplotlib to show figures embedded in the notebook, \n",
    "# instead of poping up a new window. More about that later. \n",

ahmed2m

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This line configures matplotlib to show figures embedded in the notebook, \n",
    "# instead of poping up a new window. More about that later. \n",