fasiha

import pandas as pd
import numpy as np
import pylab as plt
from pandas.tseries.offsets import MonthEnd

plt.style.use('ggplot')
plt.ion()

# Load the datasets
us_data = pd.read_csv('vti.txt.csv', parse_dates=['Date'], index_col='Date')

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export type Task = () => Promise<void>;

export function addTask(doTask: Task) {
  TASKS.push(doTask);
  kickOffWorkers(MAX_WORKERS);
}

const TASKS: Task[] = [];
const workerPool: number[] = []; // "number" but really doesn't matter, this is just to keep track of how many parallel workers we already have
const MAX_WORKERS = 3;

fasiha

import numpy as np
from datetime import datetime, timedelta
import pylab as plt
from numpy.polynomial import Polynomial

plt.style.use("ggplot")
plt.ion()

# this is the min/max points in my line chart on my profile page
rawMin = 4.9e3

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import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

plt.ion()

# URL for the data
url = "https://data.bls.gov/timeseries/JTS510000000000000LDL"

# Creating a date range from 2001 to 2023

fasiha

Via https://old.reddit.com/r/dataisbeautiful/comments/kji3wx/oc_2020_electoral_map_if_only_voted_breakdown_by/

Very tall image: "If only [blank] voted" with image caption

• white people: trump 353, unknown 3, Biden 182
• men: trump 339, unknown 15, Biden 184
• women: 182, 6, 350 Biden
• ages 18-29: 57, 44, 437 Biden
• ages 30-44: 137, 27, 374 Biden
• ages 45-64: 333, 15, 190 Biden

fasiha

import numpy as np
from numpy.fft import fft, ifft


def fftUpsample(a, factor):
    a_f = fft(a)
    n = len(a)
    assert n % 2 == 0, "odd case is harder"
    padded = np.zeros(int(len(a) * factor), dtype=a_f.dtype)
    padded[:n // 2 + 1] = a_f[:n // 2 + 1]

fasiha

See https://octodon.social/@22/110876660994705240

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Circular reasoning

An excerpt from Duncan Watts, Everything Is Obvious: when you know the answer* (2012, chapter 3)

Although it is rarely presented as such, this kind of circular reasoning—X succeeded because X had the attributes of X—pervades commonsense explanations for why some things succeed and others fail. For example, an article on the success of the Harry Potter books explained it this way:

“A Cinderella plot set in a novel type of boarding school peopled by jolly pupils already has a lot going for it. Add in some easy stereotypes illustrating meanness, gluttony, envy, or black-hearted evil to raise the tension, round off with a sound, unchallenging moral statement about the value of courage, friendship, and the power of love, and there already are some of the important ingredients necessary for a match-winning formula.”

In other words, Harry Potter was successful because it had exactly the attributes of Harry Potter, and not something else.

Likewise, when Facebook first became pop