isaacs

# Hello, and welcome to makefile basics.
#
# You will learn why `make` is so great, and why, despite its "weird" syntax,
# it is actually a highly expressive, efficient, and powerful way to build
# programs.
#
# Once you're done here, go to
# http://www.gnu.org/software/make/manual/make.html
# to learn SOOOO much more.

ocornut

// Creating a node graph editor for Dear ImGui
// Quick sample, not production code! 
// This is quick demo I crafted in a few hours in 2015 showcasing how to use Dear ImGui to create custom stuff,
// which ended up feeding a thread full of better experiments.
// See https://github.com/ocornut/imgui/issues/306 for details

// Fast forward to 2023, see e.g. https://github.com/ocornut/imgui/wiki/Useful-Extensions#node-editors

// Changelog
// - v0.05 (2023-03): fixed for renamed api: AddBezierCurve()->AddBezierCubic().

getzdan

function f6(xs, ys)
    lx, ly = length(xs), length(ys)
    lxly = lx*ly
    res = Array{Base.promote_eltype(xs, ys), 2}(lxly, 2)
    ind = 1
    while ind<=lxly
        @inbounds for x in xs
            res[ind] = x
            ind += 1
        end

thennequin

struct PieMenuContext
{
	static const int	c_iMaxPieMenuStack = 8;
	static const int	c_iMaxPieItemCount = 12;
	static const int	c_iRadiusEmpty = 30;
	static const int	c_iRadiusMin = 30;
	static const int	c_iMinItemCount = 3;
	static const int	c_iMinItemCountPerLevel = 3;

	struct PieMenu

shortjared

a4b.amazonaws.com
access-analyzer.amazonaws.com
account.amazonaws.com
acm-pca.amazonaws.com
acm.amazonaws.com
airflow-env.amazonaws.com
airflow.amazonaws.com
alexa-appkit.amazon.com
alexa-connectedhome.amazon.com
amazonmq.amazonaws.com

yig

matrix derivatives via Frobenius norm

# Automatic matrix derivatives: http://www.matrixcalculus.org/

# A good primer on basic matrix calculus: https://atmos.washington.edu/~dennis/MatrixCalculus.pdf
# The Matrix Reference Manual: http://www.ee.ic.ac.uk/hp/staff/dmb/matrix/intro.html#Intro
# Trying to understand the derivative of the inverse: https://math.stackexchange.com/questions/1471825/derivative-of-the-inverse-of-a-matrix
# Derivative of the pseudoinverse:
    https://math.stackexchange.com/questions/2179160/derivative-of-pseudoinverse-with-respect-to-original-matrix
    https://mathoverflow.net/questions/25778/analytical-formula-for-numerical-derivative-of-the-matrix-pseudo-inverse

SteffenPL

using CImGui
using CImGui.GLFWBackend
using CImGui.OpenGLBackend
using CImGui.GLFWBackend.GLFW
using CImGui.OpenGLBackend.ModernGL
using AbstractPlotting
using GLMakie
import GLMakie: make_context_current, render_frame, to_native, Screen

# add ImGui rendering pass to GLMakie's rendering loop

oxinabox

function print_isbits(f)
    seen = Set()
    MAX_ELE = 3

    function print_isbits(fname, fval::FTYPE, indent) where FTYPE
        ftext = "$fname - $FTYPE\n"
        print("  "^indent)

        fbits = isbitstype(FTYPE)
        if fbits

nmwsharp

Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh

Gnimuc

import json
import os
import requests
from datetime import datetime, timezone

NOTIFICATIONS = 'https://api.github.com/notifications'

token = os.environ['GH_TOKEN']
s = requests.Session()
s.headers.update({