Getting Started with Mojo: Your First AI-Optimized Program

Getting Started with Mojo: Your First AI-Optimized Program

Mojo is a next-generation programming language built for AI developers who want the power of C++ with the simplicity of Python. In this guide, you'll write your very first Mojo program and learn the basics of this powerful new language.

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Step 1: What is Mojo?

Mojo is designed to be Python-compatible but adds systems-level features like static typing, memory management, and compiler-level performance. It's especially useful for AI and machine learning applications.

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Step 2: Setting Up Mojo

To get started, you'll need to install Mojo. Currently, Mojo is in early access. You can sign up for access at the official Modular website.

# Once installed, run the Mojo REPL:
mojo

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Step 3: Writing Your First Program

Let’s write a simple function in Mojo to calculate Fibonacci numbers:

fn fib(n: Int) -> Int:
    if n < 2:
        return n
    return fib(n - 1) + fib(n - 2)

print(fib(10))

This looks just like Python, but Mojo compiles this into fast, optimized machine code!

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Step 4: What Makes Mojo Special?

• Speed: Mojo runs near C++ performance.
• Control: Low-level memory and hardware access.
• AI Focus: Designed for machine learning developers.

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Next Steps

Now that you’ve seen your first Mojo program, consider exploring:

• Mojo's struct types and memory management
• Using Mojo for deep learning model optimization
• Building performance-critical AI pipelines

Stay tuned for more Mojo tutorials and tips!

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