PaulNeumann

How to Install the Vagrant libvirt Provider on Ubuntu 22.04.2 LTS Desktop or Server

This document describes how to install the Vagrant libvirt provider on Ubuntu 22.04.2 LTS Desktop or Server. Much of the content is based on a blog post by Philippe Vanhaesendonck of Oracle Corp. describing how to set up the Vagrant libvirt provider on Oracle Linux.

All of the commands shown should be run in a terminal window or SSH session.

Before You Start

Verify That Your CPU Supports Hardware Virtualization

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

KodrAus

Profiling performance

Using perf:

$ perf record -g binary
$ perf script | stackcollapse-perf.pl | rust-unmangle | flamegraph.pl > flame.svg

NOTE: See @GabrielMajeri's comments below about the -g option.

bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

protrolium

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

jbardin

package nettimeout

import (
	"net"
	"time"
)

// Listener wraps a net.Listener, and gives a place to store the timeout
// parameters. On Accept, it will wrap the net.Conn with our own Conn for us.
type Listener struct {

seboudry

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns                     on recent CPU
L2 cache reference ........................... 7 ns                     14x L1 cache
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns                     20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs 4X memory

dmichael

package httpclient

import (
    "net"
    "net/http"
    "time"
)

type Config struct {
    ConnectTimeout   time.Duration

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

forresty

http://s3.amazonaws.com/stanford_videos/cs229/videos/01.1-Introduction-Welcome.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/01.b-Introduction-WhatIsMachineLearning.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/01.3-Introduction-SupervisedLearning.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/01.d-Introduction-UnsupervisedLearning.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/02.1-LinearRegressionWithOneVariable-ModelRepresentation.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/02.2-LinearRegressionWithOneVariable-CostFunction.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/02.3-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/02.4-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/02.5-LinearRegressionWithOneVariable-GradientDescent.mp4
http://s3.amazonaws.com/stanford_videos/cs229/videos/02.6-LinearRegressionWithOneVariabl