View HW2.jl
using Plots, Statistics | |
using StatsPlots | |
using Distributions #this pkg actually is end game, but we're just using gaussian pdf | |
function custom_gaussian(n) | |
#b) | |
#parent distribution is Gaussian | |
μ = 10 | |
parent = Distributions.Normal(10) #μ = 10 | |
parent_pdf(x) = Distributions.pdf(parent, x) |
View SEMF.jl
using Plots | |
N = 1:200 | |
Z = 1:200 | |
function Eb(N,Z) | |
A = Z+N | |
aᵥ = 15.8 | |
aₛ = 18.3 | |
ac = 0.714 | |
aₐ = 23.2 |
View kityy.conf
font_family Hack | |
bold_font auto | |
italic_font auto | |
bold_italic_font auto | |
font_size 18 | |
scrollback_lines 2000 | |
copy_on_select yes | |
background_opacity 0.85 | |
foreground #D8DEE9 | |
background #252525 |