Mojo for AI Developers: Side-by-Side Python to Mojo Migration for Fast, Modern AI Pipelines Is Python slowing down your AI projects? For years it has been the default language for machine learning, yet as datasets expand and models grow more complex, Python's performance ceiling is impossible to ignore. Training takes longer, preprocessing grinds through memory, and inference struggles to meet real-time demands. Developers need speed without giving up clarity-and that's exactly what Mojo delivers. This book shows you how ...
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Mojo for AI Developers: Side-by-Side Python to Mojo Migration for Fast, Modern AI Pipelines Is Python slowing down your AI projects? For years it has been the default language for machine learning, yet as datasets expand and models grow more complex, Python's performance ceiling is impossible to ignore. Training takes longer, preprocessing grinds through memory, and inference struggles to meet real-time demands. Developers need speed without giving up clarity-and that's exactly what Mojo delivers. This book shows you how to bridge the gap between Python and Mojo with practical, side-by-side code examples. You'll see familiar Python constructs-NumPy arrays, PyTorch models, Pandas-style workflows-rebuilt in Mojo for dramatic performance gains. By focusing on real pipelines instead of abstract concepts, you'll learn how to migrate step by step, measure the improvements, and combine both languages where it makes sense. Inside, you'll discover how to: Translate core Python data structures and functions into Mojo with clear syntax comparisons. Rebuild scientific computing tasks, from NumPy vectorization to full data preprocessing, in Mojo. Implement deep learning models side by side in PyTorch and Mojo to compare training speed and inference performance. Set up hybrid Python-Mojo projects where Python orchestrates and Mojo executes at machine speed. Benchmark every stage with reproducible scripts and datasets so you know exactly where the gains come from. Apply best practices for profiling, debugging, and productionizing Mojo pipelines on CPUs, GPUs, and cloud environments. Written for AI developers who are tired of waiting on slow code, this book combines energy, precision, and proven strategies. It keeps you in the mindset of a practitioner-always coding, always measuring, always focused on real workloads. Whether you're an aspiring engineer eager to boost your models or a seasoned professional ready to modernize production pipelines, this book gives you the skills and confidence to move beyond Python's limits. Stop settling for bottlenecks. Upgrade your workflow today with Mojo for AI Developers -and start building AI pipelines that are fast, modern, and ready for the future.
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Add this copy of Mojo for Ai Developers to cart. £20.96, new condition, Sold by Paperbackshop International rated 5.0 out of 5 stars, ships from Fairford, GLOS, UNITED KINGDOM, published 2025 by Amazon Digital Services LLC-Kdp.
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Add this copy of Mojo for AI Developers: Side-by-Side Python to Mojo to cart. £22.06, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
