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Cloud Native Infrastructure: Patterns for scalable infrastructure and applications in a dynamic environment

Confessions Of A Public Speaker

High Performance Python : Practical Performant Programming For Humans

Head First Java 3rd Edition: A Brain friendly Guide

Hands On Machine Learning with Scikit Learn, Keras, and TensorFlow 3e: Concepts,...

Certified Kubernetes Application Developer (CKAD) Study Guide: In-Depth Guidance and Practice

Learning PHP, MySQL & JavaScript: A Step-by-Step Guide to Creating Dynamic Websites

Data Science on the Google Cloud Platform: Implementing End to Real Time...

Prompt Engineering for Generative AI: Future Proof Inputs Reliable AI Outputs

Building AI Powered Products: The Essential Guide to and Genai Product Management

Graph Databases 2e: New Opportunities for Connected Data

Cloud Native Data Security with OAuth: A Scalable Zero Trust Architecture

Restful Web API Patterns and Practices Cookbook: Connecting Orchestrating Microservices Distributed Data

Head First Kotlin: A Brain Friendly Guide

Data Science on AWS: Implementing End To End, Continuous AI and Machine Learning Pipelines

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

Learning HTTP/2: A Practical Guide for Beginners

Head First Swift: A Learner's Guide to Programming with Swift

Arista Warrior: Products with a Focus on EOS

Head First Python: a Learner's Guide to the Fundamentals of Python Programming, Brain Friendly

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

Agile for Everybody: Creating fast, flexible, and customer first organizations

Statistical Tableau: How to Use Models and Decision Science in Tableau

The Staff Engineer's Path: A Guide For Individual Contributors Navigating Growth and Change

Introduction to Machine Learning with R: Rigorous Mathematical Analysis

O'reilly javascript patterns

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

Terraform: Up and Running: Writing Infrastructure as Code

Certified Kubernetes Administrator (CKA) Study Guide: In Depth Guidance and Practice

R for Data Science: Import, Tidy, Transform, Visualize, and Model