A casual test of some of the features of the Mojo programming language.

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Keyboard: Glove80 - https://www.moergo.com/collections/glove80-keyboards
Camera: Canon EOS R5 https://amzn.to/3CCrxzl
Monitor: Dell U4914DW 49in https://amzn.to/3MJV1jx
SSD for Video Editing: VectoTech Rapid 8TB https://amzn.to/3hXz9TM
Microphone 1: Rode NT1-A https://amzn.to/3vWM4gL
Microphone 2: Seinheiser 416 https://amzn.to/3Fkti60
Microphone Interface: Focusrite Clarett+ 2Pre https://amzn.to/3J5dy7S
Tripod: JOBY GorillaPod 5K https://amzn.to/3JaPxMA
Mouse: Razer DeathAdder https://amzn.to/3J9fYCf
Computer: 2021 Macbook Pro https://amzn.to/3J7FXtW
Lens 1: Canon RF50mm F 1.2L USM https://amzn.to/3qeJrX6
Lens 2: Canon RF24mm F1.8 Macro is STM Lens https://amzn.to/3UUs1bB
Caffeine: High Brew Cold Brew Coffee https://amzn.to/3hXyx0q
More Caffeine: Monster Energy Juice, Pipeline Punch https://amzn.to/3Czmfox
Building A Second Brain book: https://amzn.to/3cIShWf

Code to the Moon

Mojo is a new programming language aimed at optimizing AI and machine learning tasks. It offers significant speed improvements over Python, especially in matrix multiplication. Initially, it was limited to Jupyter notebooks, but recent updates have made it accessible on Mac and Linux via an SDK. Mojo combines Python's ease of use with performance features like no garbage collection and SIMD computation. Despite being early in development, it shows promise for handling both simple and complex programming tasks.

The Current State of the Mojo Programming Language