Patrikios’s gists

Patrikios / powershell.ps1

Last active April 29, 2023 11:51

poweshel alias function to delete and add new value to path

	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 / pipable_chatgGPT_commands.R

Last active April 16, 2023 11:36

chatGPT interactions, as well to help you generate and evaluate code

	# 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 / App1.R

Last active April 16, 2023 11:10

R Shiny modal outputs render on input change strategies (previously rendered plot on input change visible VS plot render does not show previoous plot)

	# 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 / Dockerfile

Last active September 20, 2022 15:42

Building a shinyproxy Dockerfile based on rhub/r-minimal for R shiny app

	# 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_study.jl

Last active September 19, 2022 15:24

GEnerator Expressions in julialang

	# 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 / pairs_study.jl

Last active September 19, 2022 13:12

julia pairs data structure

	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.md

Created September 13, 2022 15:44 — forked from xin053/sync.md

[go sync] go sync #go #sync

sync.WaitGroup

package main

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

Patrikios / DataFrames_Study.jl

Created September 13, 2022 14:49

A short excourse on the DataFrames.jl API

	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"));

Patrikios / conditions.R

Last active March 10, 2023 07:15

implements custom R conditions (like errors, warnings, messages) as found in 1st Edition of Hadley's Advanced R book

	# 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 / multithreading.jl

Last active September 20, 2022 15:42

Overview of the parallelism/concurrent/distributed framework of julia in a nutshell

	# 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
	=#

Patrik Patrikios

sync.WaitGroup