Beyond Python

By: Fathimamary, B.

This book presents the essential technologies that extend Python's capabilities for production AI/Data Science. It argues that modern systems require a polyglot architecture where Python orchestrates workflows, but performance-critical components are built with specialized tools: Rust for safe systems programming, Julia for numerical computing, Mojo for AI infrastructure, high-performance databases (OLAP/Vector), Apache Arrow for zero-copy data exchange, CUDA/GPUs for parallel compute, and Kubernetes for scalable orchestration. The guide provides a roadmap for data professionals to build robust, efficient, and scalable systems by selecting the right tool for each task in the stack.

• Format: Paperback
• Language: English
• ISBN: 6209590705
• ISBN13: 9786209590702
• Release Date: January 2026
• Publisher: LAP Lambert Academic Publishing
• Length: 132 Pages
• Weight: 0.41 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"