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Mojo 🔥 Advent of Code 2023
Advent of Code is an annual online coding event that takes place during the holiday season, starting on December 1st and continuing until December 25th. It consists of a series of small programming puzzles that are released daily, each becoming available at midnight EST (UTC-5). Participants from around the world compete for fun, honing their coding abilities and often learning new programming concepts in the process.

What’s new in Mojo SDK v0.5?
Mojo SDK v0.5 is now available for download and includes exciting new features. In this blog post, I’ll discuss what these features are and how to use them with code examples. ICYMI, in last week’s Modular community livestream, we dove deep into all things Mojo SDK v0.5 with live demos of the examples shared in this blog post, while answering your questions live!

Welcome Mostafa Hagog to Modular
We are happy to welcome Mostafa Hagog to Modular, who recently joined to lead our high performance numeric kernels, graph compiler, and low level heterogeneous runtime teams! These technology areas are critical low-level components of our AI Engine, and are directly responsible for delivering state of the art performance across many categories of hardware.
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Mojo🔥 is now available on Mac
We released Mojo local download for Linux systems on September 7th, and in just over a month we’ve seen tens of thousands of downloads and amazing community projects such as llama.🔥and Infermo. We deeply value your feedback, as Mojicians, and we appreciate every single PR, feature request, and bug report.

Community Spotlight: How I built llama2.🔥 by Aydyn Tairov
Mojo SDK was released in September 2023. As someone who relies on the simplicity of Python and also cares about high performance delivered by languages like C, I was excited to try out Mojo. I felt the same joy and thrill I had experienced when I first discovered programming and ran “Hello World” in QBasic and Turbo Pascal.
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Using Mojo🔥 with Python🐍
Mojo allows you to access the entire Python ecosystem, but environments can vary depending on how Python was installed. It's worth taking some time to understand exactly how modules and packages work in Python, as there are a few complications to be aware of. If you've had trouble calling into Python code before, this will help you get started.
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