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Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes

Data Science for Business: What You Need to Know About Mining and Analytic Thinking

Learning SQL: Generate, Manipulate, and Retrieve Data

Managing AI Projects: Drive Innovation and Successfully Navigate the Full Project Lifecycle

Learning Typescript: Enhance Your Web Development Skills Using Type Safe JavaScript

Network Warrior 2e: Everything You Need to Know That Wasn't on the CCNA Exam

Fundamentals of Software Architecture: A Modern Engineering Approach

Apache Polaris The Definitive Guide: Enriching Iceberg Data Lakehouses with an Open Source Catalog

the AI Engineer's Guide to Surviving EU Act: Navigating Regulatory Requirements

Learning OpenTelemetry: Setting Up and Operating a Modern Observability System

Learning JavaScript Design Patterns: A and Jquery Developer's Guide

Learning Perl: Making Easy Things and Hard Possible

Learning the vi and Vim Editors: Power Agility Beyond Just Text Editing

Tensorflow 2 Pocket Reference: Building and Deploying Machine Learning Models

Learning Automl: Automating ML Pipelines with Autogluon, Leading Frameworks, and Real World Integration

JavaScript the Definitive Guide, 7e: Master World's Most Used Programming Language

Practical Monitoring: Effective Strategies for the Real World

Learning MySQL: Get a Handle on Your Data

Infrastructure as Code: Designing and Delivering Dynamic Systems for the Cloud Age

Python Pocket Reference 5ed: in Your

XML Pocket Reference 3e: Extensible Markup Language

Generative AI on Kubernetes: Operationalizing Large Language Models

Building Micro Frontends: Distributed Systems for the Frontend

97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts

Hackers

HTTP: The Definitive Guide: Understanding Web Internals

Building Machine Learning Powered Applications: Going from Idea to Product

Automating Data Quality Monitoring at Scale: Scaling Beyond Rules with Machine Learning

Head First Kotlin: A Brain Friendly Guide

AI-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python