at and t cellular

When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. This book teaches you to build generative AI models optimized for specific fields. You’ll learn to minimize the computational horsepower your models require, while keeping high–quality performance times and output. [Read more]

The powerful PyTorch library makes deep learning simple—without sacrificing the features you need to create efficient neural networks, LLMs, and other ML models. Pythonic by design, it’s instantly familiar to users of NumPy, Scikit-learn, and other ML frameworks. This thoroughly-revised second edition covers the latest PyTorch innovations, including how to create and refine generative AI models. [Read more]

The definitive guide to developing and deploying software with Kubernetes. Built on the bestselling first edition, this end-to-end revision provides up-to-date coverage on structuring Kubernetes-based applications and taking advantage of the Kubernetes API. You’ll also discover other key topics like configuration, attaching storage, scaling, and zero-downtime maintenance. [Read more]

WebAssembly empowers developers to run almost any language on the web—including high performance tools like C or C++. This guide lays out everything you need to take WebAssembly beyond its traditional browser domain. You’ll learn from WebAssembly expert and contributor Danilo Chiarlone, who has packed the book with production-level examples based on his experience working with WebAssembly at Microsoft. [Read more]

Data Pipelines with Apache Airflow, Second Edition

This new second edition has been fully revised for Airflow 3 with coverage of all the latest features of Apache Airflow, including the Taskflow API, deferrable operators, and Large Language Model integration. Filled with real-world scenarios and examples, you'll be carefully guided from Airflow novice to expert. [Read more]

Level up from writing Python code to designing Python applications. Following intuitive “before” and “after” examples of improved code, you’ll learn to plan and execute Python applications effectively and avoid bugs associated with unmanaged state, poorly-formed classes, inflexible functions, and more. [Read more]

Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide! [Read more]

The decisions you make about your software are inherently connected to the decisions you make about your business. Why not turn the mundane task of modernizing legacy systems into a transformative process for your entire company? This book shows you how! It reveals a socio-technical approach to align your software and products with organizational dynamics and ways of working. [Read more]