rafaqz

#=
This julia script converts fortran 90 code into julia.
It uses naive regex replacements to do as much as possible,
but the output WILL need further cleanup.

Known conversion problems such as GOTO are commented and marked with FIXME

Most variable declaration lines are entirely deleted, which may or
may not be useful. 

jordancluts

function formatfilterstring(filter::NTuple{N,Union{String,Tuple{String,String}}}) where N
    outarray = String[]
    for i in eachindex(filter)
        if typeof(filter[i])==String
            push!(outarray,"",filter[i])
        else
           push!(outarray,filter[i]...)
        end
    end
    string(outarray[1],"|" .* outarray[2:end]...)

FedericoStra

module IteratedFunctions

export IteratedFunction, iterated

struct IteratedFunction{F} <: Function
    f::F
    n::UInt # ensure non-negative
end

IteratedFunction(f, n::Integer) = IteratedFunction(f, UInt(n))

kimlaberinto

## Source for math political compass klein bottle meme by @KimPLab on Twitter
## Tweet: https://twitter.com/KimPLab/status/1381621398636949511

## Inspired by the math political compass torus meme by @jessebett 
## https://twitter.com/jessebett/status/1379162611414138885
## @jessebett source code notes:
## upcycled from torus knot fibration visualization:
## http://www.jessebett.com/TorusKnotFibration/torusknot.html

## Note:

baggepinnen

baggepinnen

#=
Source: https://discourse.julialang.org/t/announcing-package-download-stats/

request_addrs: the approximate number of unique requesting IP addresses. Details below on why this is approximate and not exact.

request_count: the number of requests.

successes: the number of requests which resulted in a 2xx HTTP response code. Only included if status is not one of the key fields of the rollup. To get the success rate, divide by request_count.

cache_misses: the number of requests which resulted in the package server attempting to fetch a resource from an upstream storage server. To get the cache miss rate, divide by request_count.

tobydriscoll

# Requires installation of [GLMakie](https://github.com/JuliaPlots/Makie.jl)
# Include this file as include("eigshow.jl"), then run eigshow()

using GLMakie, LinearAlgebra, Printf

# Toby Driscoll ([email protected]), October 2021. Released under Creative Commons CC BY-NC 3.0 license.

# This function is inspired by EIGSHOW.M, which is held in copyright by The MathWorks, Inc and found at:
# Cleve Moler (2021). Cleve_Lab (https://www.mathworks.com/matlabcentral/fileexchange/59085-cleve_lab), MATLAB Central File Exchange. Retrieved October 25, 2021.
"""