thomasnield

import matplotlib.pyplot as plt

# Parameters
p = 0.7  # probability of success (recovery)
x = [0, 1]  # possible outcomes
probabilities = [1-p, p]  # probabilities of failure and success

# Create the plot
plt.figure(figsize=(10, 6))
bars = plt.bar(x, probabilities,

thomasnield

from random import randint, choice

def random_door():
    return randint(1, 3)

trial_count = 10_000

stay_wins = 0
switch_wins = 0

thomasnield

use std::process::Command;
use walkdir::WalkDir;
use regex::Regex;

/*
[package]
name = "rust_playground"
version = "0.1.0"
edition = "2021"

thomasnield

cd ~/git/my_project_with_large_files
git lfs install
git lfs migrate import --include="*.pptx, *.pdf" --everything
git lfs ls-files
git push --all --force
# https://josh-ops.com/posts/migrate-to-git-lfs/

thomasnield

from manim import *
import os 

class CircleTraceTest(Scene):
    def construct(self):
        circle = Circle(radius=2)
        self.add(circle)

        vt = ValueTracker(0.0)
        point: Dot = always_redraw(lambda: Dot(point=circle.point_from_proportion(vt.get_value())))

thomasnield

# import required module
import os
from pathlib import Path
import re

# assign directory
directory = Path('/Users') / 'thomasnield' / 'git' / 'oreilly_essential_math_for_data_science_book'

def two_digit_correct(filename: str):
    return re.sub(r"(?<=[0-9])_(?=[0-9][A-z])", "_0", filename)

thomasnield

%%manim -qk Histogram 

"""
PROMPT: Create sample Python code using manim to plot data into a histogram. Use that same data to create a numberline with points beneath it. Then draw a distribution function over the histogram. 
"""
from manim import *
import numpy as np

class Histogram(Scene):
    def construct(self):

thomasnield

[
     {
            "ID" : 1,
            "NAME": "Alpha Medical",
            "ADDRESS" : "18745 Train Dr",
            "CITY" : "Dallas",
            "STATE": "TX",
            "ZIP" : 75021,
            "CATEGORY" : "INDUSTRIAL"
        },

thomasnield

import pandas as pd
from math import sqrt
from manim import *

def create_model() -> tuple:
    data = list(pd.read_csv("https://bit.ly/2KF29Bd").itertuples())
    m = ValueTracker(1.93939)
    b = ValueTracker(4.73333)

    ax = Axes(

thomasnield

// C program to demonstrate the
// showbits() function
#include <stdio.h>

#define BV(bit)               (1 << bit)
#define setBit(byte, bit)     (byte |= BV(bit))
#define clearBit(byte, bit)   (byte &= ~BV(bit))
#define toggleBit(byte, bit)  (byte ^= BV(bit))
#define getBit(byte, bit)     (byte >> bit) & BV(0)