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Mandelbrot in Mojo with Python plots

Not only Mojo is great for writing high-performance code, but it also allows us to leverage huge Python ecosystem of libraries and tools. With seamless Python interoperability, Mojo can use Python for what it's good at, especially GUIs, without sacrificing performance in critical code. Let's take the classic Mandelbrot set algorithm and implement it in Mojo.

We'll introduce a Complex type and use it in our implementation.

Mandelbrot in python

macOS Internals

Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.

Starting Points

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Why not: from Common Lisp to Julia

This article is a response to mfiano’s From Common Lisp to Julia which might also convey some developments happening in Common Lisp. I do not intend to suggest that someone coming from a Matlab, R, or Python background should pickup Common Lisp. Julia is a reasonably good language when compared to what it intends to replace. You should pickup Common Lisp only if you are interested in programming in general, not limited to scientific computing, and envision yourself writing code for the rest of your life. It will expand your mind to what is possible, and that goes beyond the macro system. Along the same lines though, you should also pickup C, Haskell, Forth, and perhaps a few other languages that have some noteworthy things to teach, and that I too have been to lazy to learn.

/I also do not intend to offend anyone. I’m okay with criticizing Common Lisp (I myself have done it below!), but I want t

September 2022:

This has spread to a far wider audience than I had anticipated - probably my fault for using a title that is in hindsight catnip for link aggregators. I wrote this back in 2021 just as a bunch of personal thoughts of my experiences using Rust over the years (not always well thought through), and don't intend on trying to push them further, outside of personal experiments and projects.

Managing a living language is challenging and difficult work, and I am grateful for all the hard work that the Rust community and contributors put in given the difficult constraints they work within. Many of the things I listed below are not new, and there's been plenty of difficult discussions about many of them over the years, and some are being worked on or postponed, or rejected for various good reasons. For more thoughts, please see my comment below.

My personal list of Rust gr

Problem statement

Suppose, you have these input list of tuples (an ‘old’ one and a ‘new’ one):

_old = [
    ('A', 1, 2, 3),
    ('B', 1, 2, 3),
    ('D', 1, 2, 3),
    ('E', 1, 3, 3),
    ('F', 1, 2, 3),
    ('G', 1, 2, 3),

Developer experience, libraries, performance… (2021/11)

I'll preface this with three things. 1. I prefer schemes over Common Lisps, and I prefer Racket of the Schemes. 2. There is more to it than the points I raise here. 3. I assume you have no previous experience with Lisp, and don't have a preference for Schemes over Common Lisp. With all that out of the way... I would say Common Lisp/SBCL. Let me explain

SBCL Is by far the most common of the CL implementations in 2021. It will be the easiest to find help for, easiest to find videos about, and many major open source CL projects are written using SBCL
Download a binary directly from the website http://www.sbcl.org/platform-table.html (even for M1 macs) to get up and running (easy to get started)
Great video for setting up Emacs + Slime + Quick Lisp https://www.youtube.com/watch?v=VnWVu8VVDbI

Now as to why Common Lisp over Scheme

	#!/usr/bin/env -S bash -c "docker run -p 8080:8080 -it --rm \$(docker build --progress plain -f \$0 . 2>&1 \| tee /dev/stderr \| grep -oP 'sha256:[0-9a-f]*')"

	# syntax = docker/dockerfile:1.4.0

	FROM node:20

	WORKDIR /root

	RUN npm install sqlite3

	{"ISO 693-3":"aaa","Language Name":"Ghotuo","Language Family":"Niger-Congo","Subgrouping":"Atlantic-Congo","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aaa"}
	{"ISO 693-3":"aab","Language Name":"Arum","Language Family":"Niger-Congo","Subgrouping":"Atlantic-Congo","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aab"}
	{"ISO 693-3":"aac","Language Name":"Ari","Language Family":"Trans-New Guinea","Subgrouping":"Gogodala-Suki","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aac"}
	{"ISO 693-3":"aad","Language Name":"Amal","Language Family":"Sepik","Subgrouping":"Iwam","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aad"}
	{"ISO 693-3":"aaf","Language Name":"Aranadan","Language Family":"Dravidian","Subgrouping":"Southern","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aaf"}
	{"ISO 693-3":"aai","Language Name":"Miniafia Oyan","Language Family":"Austronesian","Subgrouping":"Malayo-Pol

	interface TLBoundsWithCenter {
	minX: number
	midX: number
	maxX: number
	minY: number
	midY: number
	maxY: number
	width: number
	height: number
	}

	1. kn0thing
	2. spez
	3. third
	4. fifth
	5. fourth
	6. agentorange
	7. chickenlittle
	8. erzengel
	9. fizzypop
	10. madmax2