djfdyuruiry

Enable systemd in WSL 2

NOTE: If you have Windows 11 there is now an official way to do this in WSL 2, use it if possible - see MS post here (WINDOWS 11 ONLY)

This guide will enable systemd to run as normal under WSL 2. This will enable services like microk8s, docker and many more to just work during a WSL session. Note: this was tested on Windows 10 Build 2004, running Ubuntu 20.04 LTS in WSL 2.

• To enable systemd under WSL we require a tool called systemd-genie

• Copy the contents of install-sg.sh to a new file /tmp/install-sg.sh:

jennybc

library(tidyverse)
library(patchwork)

dat_wide <- tibble(
  x = 1:3,
  top = c(4.5, 4, 5.5),
  middle = c(4, 4.75, 5),
  bottom = c(3.5, 3.75, 4.5)
)

aeschright

When will npm@6.9.1 be released (and other PRs merged?)

On March 22, npm fired several members of the open source and community team for discussing workplace conditions and other labor organizing activities. As a result, core employee contributors to the npm cli were removed from the project, and others have left in solidarity or put their work on hold.

Multiple claims were filed with the NLRB on this matter. The NLRB has investigated and found sufficient evidence of validity to proceed. The National Labor Relations Act of 1935 protects US employees' right to engage in discussions of workplace concerns without threat of retaliation -- and awareness of the importance of how we treat each other is something I valued so much in collaborating with the cli team. How can we work together if we aren't free to discuss what we need?

It's disappointing for all of us to find the work we were doing interrup

nuest

Switching from XML to xml2

Rationale

The R package XML for parsing and manipulation of XML documents in R is not actively maintained anymore, but used by many:

The R package xml2 is an actively maintained, more recent alternative.

This file documents useful resources and steps for moving from XML to xml2.

chrisidakwo

{
    "Abia": [
        "Aba North",
        "Aba South",
        "Arochukwu",
        "Bende",
        "Ikwuano",
        "Isiala-Ngwa North",
        "Isiala-Ngwa South",
        "Isuikwato",

mbinna

Effective Modern CMake

Getting Started

For a brief user-level introduction to CMake, watch C++ Weekly, Episode 78, Intro to CMake by Jason Turner. LLVM’s CMake Primer provides a good high-level introduction to the CMake syntax. Go read it now.

After that, watch Mathieu Ropert’s CppCon 2017 talk Using Modern CMake Patterns to Enforce a Good Modular Design (slides). It provides a thorough explanation of what modern CMake is and why it is so much better than “old school” CMake. The modular design ideas in this talk are based on the book [Large-Scale C++ Software Design](https://www.amazon.de/Large-Scale-Soft

dncgst

How to install the rgdal R package

> install.packages("rgdal")

• installing source package ‘rgdal’ ... configure: error: gdal-config not found or not executable.

The packages libgdal-dev and libproj-dev are required:

sudo apt-get install gdal-bin proj-bin libgdal-dev libproj-dev

dmode

<#
.SYNOPSIS
    Script to convert markdown file to word document
.DESCRIPTION
    Convertes a markdown file into an word document using pandoc as converter. The process uses a word template file
.PARAMETER i
    Specifies the input file. This is the markdown file
.PARAMETER o 
    Specifies the output file. This is the word document
.PARAMETER t

wojteklu

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.

---

General rules

1. Follow standard conventions.
2. Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
3. Boy scout rule. Leave the campground cleaner than you found it.
4. Always find root cause. Always look for the root cause of a problem.

Design rules

mick001

# Load the raw training data and replace missing values with NA
training.data.raw <- read.csv('train.csv',header=T,na.strings=c(""))

# Output the number of missing values for each column
sapply(training.data.raw,function(x) sum(is.na(x)))

# Quick check for how many different values for each feature
sapply(training.data.raw, function(x) length(unique(x)))

# A visual way to check for missing data