Patrikios

Set-Alias delp Remove-EnvironmentPath
function Remove-EnvironmentPath {
  $toRemove = ($args -join " ").TrimEnd("\")

  $userPath = [Environment]::GetEnvironmentVariable("PATH", "User")
  $changedUserPath = $userPath.Split(";") |
    ForEach-Object { $_.TrimEnd("\").Trim() } |
    Where-Object { $_ -ne $toRemove }

  $changedUserPath = $changedUserPath -Join ";"

Patrikios

# an example of using package 'chatgpt' to help you generate pipaeble code
# I used here code that I have seen on twitter
# however I cannot locate it anymore, no pun intended, will update the sources once I found it 

# my package loader (installs packages if they are not installed)
if (!require(attachee)) {
  if (!require(devtools)) {
    install.packages(devtools)
  } else {
    install_github("patrikios/attachee")

Patrikios

# This app.R demonstrates how R Shiny rerenders a unique output id 
# the previously renred plot is initially visible, afterwards changed
# that is how shiny is designed to work

library(shiny)
library(ggplot2)

app <- shinyApp(
  ui = fluidPage(
    selectInput(

Patrikios

# DOCUMENTATION
#
# Sources: http://adv-r.had.co.nz/Exceptions-Debugging.html & https://adv-r.hadley.nz/conditions.html
#
# - all conditions inherit from abstract class 'condition'
# - conditions are being signalled from functions
# - R conditions system was inpsired by Common Lisp
#
#
# Ressources:

Patrikios

# Multithreaded programming in Julia

#= 
    Julia supports multiple types of parallelism
    - SIMD (handled by the compiler) -> for instance the package StaticArrays.jl, short static vectors incline to encourage SIMD operations, a further reason why the package is so efficient 
    - Threads with shared memory (this documents touches upon this point)
    - Distributed (multi-mode, not sharing memory)
    - GPUs
=#

Patrikios

# Ressources:
# - https://github.com/r-hub/r-minimal
# - https://hosting.analythium.io/best-practices-for-r-with-docker/

# NOTE
# does not support Cairo or x11 add hoc, hence renderPlot will not work, renderPlotly und JS backends are working fine

# TEST and DEBUG
# - build: sudo docker build --build-arg http_proxy=x --build-arg https_proxy=x -t shiny_app_alpine .
# - run: sudo docker run -it -p 3899:3838 -v /home/xyz/:/home/xyz/ shiny_app_alpine

Patrikios

# Generator Expressions
# - comprehensions can also be written without the enclosing square brackets, producing an object known as a generator 
# - can be iterated to produce values on demand, instead of allocating an array and storing them in advance
# - Generators are implemented via inner functions.
# - simple example
(1/n^2 for n=1:1000)
# - collect
collect(1/n^2 for n=1:1000)
# - the following expression sums a series without allocating memory
map(tuple, (1/(i+j) for i=1:2, j=1:2), [1 3; 2 4])

Patrikios

a_tuple = (1, 2)
a_pair = 1 => 2
a_tuple != a_pair
# true
# The elements are stored in the fields first and second
a_pair.first
# 1
a_pair.second
# 1
typeof(a_pair)

Patrikios

sync.WaitGroup

package main

import (
	"log"
	"math/rand"
	"sync"
	"time"

Patrikios

using DataFrames

# create a data.frame (simple)
df = DataFrame(A=1:4, B=["M", "N", "O", "P"])
df[!, :A] # no copy
df[:, :A]  # copy is returned

# create a data.frame (row by row - not performant, as DataFrames are like in R built columnwise)
df2 = DataFrame(A=Int[], B=String[])
push!(df2, (1, "M"));