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 |