kopp

cmake_minimum_required(VERSION 3.31.0)
project(build_with_ninja CXX)

set(CMAKE_GENERATOR "Ninja" CACHE INTERNAL "" FORCE)
message("generator is set to ${CMAKE_GENERATOR}")

kopp

How to git push and git pull via https://

1. Create repository on github.com
2. Add the remote (do not use set-url, rather delete and then add) including your username: git remote add origin https://<username>@github.com/<name>/<repo>.git
3. Create an access token with scope Contents Read and Write (and if you want to work with workflows also Workflows Read and Write) via https://github.com/settings/tokens?type=beta
4. Use git config push.autoSetupRemote true
5. git push, then enter the PAT

kopp

Install extension https://github.com/microsoft/vscode-arduino

Create a .vscode/settings.json file, that makes sure, that the C/C++ extension is enabled. (By default, I use the clangd extension for intellisense.)

{
    "C_Cpp.intelliSenseEngine":"default",
 "C_Cpp.autocomplete": "default",

kopp

toggle_keyboard_layout.sh
Mod4+I

kopp

import numpy as np
from scipy.interpolate import interp1d, splprep, splev, CubicHermiteSpline
import matplotlib.pyplot as plt

pts = np.array(
    [
        [-846724, 0],
        [-423362, 10029],
        [0, 13942],
        [289000, 14733],

kopp

// (c) 2021 kopp, MIT licensed

// see https://en.cppreference.com/w/cpp/language/coroutines

// works with g++ 11.1 with -std=c++20


#include <coroutine>
#include <iostream>
#include <string>

kopp

/**
 * Demo of how to use a unique_ptr with a custom allocator.
 *
 * Unlicensed 2021 kopp
 *
 * This is free and unencumbered software released into the public domain.
 *
 * Anyone is free to copy, modify, publish, use, compile, sell, or
 * distribute this software, either in source code form or as a compiled
 * binary, for any purpose, commercial or non-commercial, and by any

kopp

git clone https://github.com/aim42/aim42.git
cd aim42
docker run -it -v $(pwd):/documents/ asciidoctor/docker-asciidoctor
asciidoctor --doctype book -a imagesdir=../resources/images -a icons=font -a toc=left -a sectlink=true -a sectanchors=true -a numbered=true, -a source-highlighter=coderay -a coderay-css=class -a stylesheet=aim42.css -a stylesdir=../resources/css/ -a version=0.8.0 -a data-uri=true --out-file a.html --source-dir src/main/asciidoc/ src/main/asciidoc/index.adoc

Note: data-uri will include the image content in the HTML; see here.

Directly create the epub via

kopp

pip install ipympl

in Ipython/VSCode Interactive Window use

%matplotlib widget

kopp

# %%

# Application that displays data on a map and allows to modify the data in a
# callback triggered by a button.
#
# Note: This application must not be executed using multiple workers, but only
# single-threaded (i.e. run with `python <name>`).
# See https://dash.plotly.com/sharing-data-between-callbacks for the reason.

import dash