Python, Supercharged: The Mojo Integration Guide: Augmenting Your Codebase for High-Performance AI and Systems Programming.

Author:   Alexandra R Walker
Publisher:   Independently Published
ISBN:  

9798273206595


Pages:   208
Publication Date:   06 November 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Python, Supercharged: The Mojo Integration Guide: Augmenting Your Codebase for High-Performance AI and Systems Programming.


Overview

Stop choosing between Python's productivity and C's performance. As a Python developer, you already know the frustration: you build a brilliant AI model or a high-traffic API, and it grinds to a halt under real-world load. You have hit the ""Python performance ceiling,"" where the GIL and dynamic typing tax become a bottleneck. Until now, the only solution was a painful, ""two-language"" rewrite in C++ or Rust. There is a better way. Welcome to Mojo, the superset of Python designed to be the ""Python++"" you have always wanted. Python, Supercharged is your practical, hands-on guide to this new world. This book is built on a single philosophy: augment, don't replace. You will keep your existing, productive Python stack and learn to surgically identify and rewrite your critical ""hotspots"" for native, bare-metal speed. Inside this guide, you will move from theory to production-ready application. You will learn to: Find Your Bottleneck: Adopt a ""profiler's mindset"" to pinpoint the 10% of your code that is causing 90% of the slowdown. Master the Performance DNA: Move from Python's dynamic def to Mojo's strict, compiled fn, and replace slow, pointer-chasing dicts with cache-friendly, zero-overhead structs. Unlock Your Hardware: Effortlessly parallelize your code across every CPU core with parallelize (goodbye, multiprocessing) and unleash massive data throughput with SIMD vectorization. Supercharge Your AI Stack: Rewrite your PyTorch pre-processing pipelines, write custom GPU-aware kernels without the CUDA complexity, and see how to get 1000x speedups on real-world AI tasks. Bridge the Two Worlds: Seamlessly import and use any Python library (NumPy, Pandas, PyTorch) from your Mojo code, and, more importantly, package your compiled Mojo functions to be called directly from your main Python application. Build Like a Systems Programmer: Learn to build native, high-performance servers from scratch and interface with C libraries at zero cost, leaving the CFFI overhead in the past. This book is for the Python developer, data scientist, or AI engineer who is tired of being ""fast enough."" It is your guide to writing code that is both readable and blazingly fast, all without leaving the ecosystem you love.

Full Product Details

Author:   Alexandra R Walker
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 17.00cm , Height: 1.10cm , Length: 24.40cm
Weight:   0.340kg
ISBN:  

9798273206595


Pages:   208
Publication Date:   06 November 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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