deomorxsy

Note: this was originally several Reddit posts, chained and linked. But now that Reddit is dying I've finally moved them out. Sorry about the mess.

URL: https://www.reddit.com/r/ProgrammingLanguages/comments/up206c/stack_machines_for_compilers/i8ikupw/ Summary: stack-based vs register-based in general.

There are a wide variety of machines that can be described as "stack-based" or "register-based", but not all of them are practical. And there are a lot of other decisions that affect that practicality (do variables have names or only address/indexes? fixed-width or variable-width instructions? are you interpreting the bytecode (and if so, are you using machine stack frames?) or turning it into machine code? how many registers are there, and how many are special? how do you represent multiple types of variable? how many scopes are there(various kinds of global, local, member, ...)? how much effort/complexity can you afford to put into your machine? etc.)

a pure stack VM can only access the top elemen

(This is a translation of the original article in Japanese by moratorium08.)

(UPDATE (22/3/2019): Added some corrections provided by the original author.)

Writing your own OS to run on a handmade CPU is a pretty ambitious project, but I've managed to get it working pretty well so I'm going to write some notes about how I did it.

ELF Format Cheatsheet

Introduction

Executable and Linkable Format (ELF), is the default binary format on Linux-based systems.

Compilation

R Cheat Sheet : Applying functions

R Cheat Sheet : Applying functions

#GIT

Estados

Modificado (modified);
Preparado (staged/index)
Consolidado (comitted);

	/*
	* John Conway's Game of Life.
	*
	* This is written for POSIX, using Curses. Resizing of the terminal is not
	* supported.
	*
	* By convention in this program, x is the horizontal coordinate and y is
	* vertical. There correspond to the width and height respectively.
	* The current generation number is illustrated when show_generation is set.
	*

	import pandas as pd
	from tqdm import tqdm
	import csv
	import random
	import string
	from pyspark.sql import SparkSession
	from pyspark.sql.functions import *

	random.seed(1999)