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A bar chart of the highest points of each EU member state. Note: I've ignored peaks that aren't on the European continent.

Source: Wikipedia.

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A randomly-generated normal distribution with a mean of 0 and a standard deviation of 3 on an ordinal x-axis. The histogram will add one datapoint at a time until it has reached 100 datapoints.

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A set of 100 points are given a new uniform random distribution every 5 seconds.

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Fits a straight line to data using the Least Squares method.

"Least squares" means that the overall solution minimizes the sum of the squares of the errors made in the results of every single equation.

Least squares function by Ben van Dyke.

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Plots the first ten Hermite polynomials (physicists' definition), defined using the recursion relation.

$$ H_{n+1}(x) = 2x H_n(x) - 2 (n-1) H_{n-2}(x) $$

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Monte Carlo integration of the function $f(x) = x^2$ on the interval $\left[ 0, 1 \right]$ on $\mathbb{R}$. The correct result is $1/3$. How close is the numerically computed result?

We sample $N = 1000$ points on the plane $(x,y) \in ([0,1], [0,1])$ and define an acceptance function

$$ A(x,y) = \begin{cases} 1 & \text{if} ~ y \leq f(x) \

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The ⊗ icon I use on tommyogden.com, made in D3.

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height: 944
border: no

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# ! python
# coding: utf-8

import os
import argparse
import glob

import nbformat
from nbconvert.preprocessors import ExecutePreprocessor
from nbconvert.preprocessors.execute import CellExecutionError

tpogden

0.85	17.45	2
0.75	15.6	2
3.3	15.45	2
5.25	14.2	2
4.9	15.65	2
5.35	15.85	2
5.1	17.9	2
4.6	18.25	2
4.05	18.75	2
3.4	19.7	2