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Tidy Modeling with R: A Framework for in the Tidyverse

Designing Games: A Guide to Engineering Experiences

The Ruby Programming Language: Everything You Need to Know (OREILLY)

Building Applications with AI Agents: Designing and Implementing Multi Agent Systems

Deciphering Data Architectures: Choosing Between a Modern Warehouse, Fabric, Lakehouse, and Mesh

Web Application Security: Exploitation and Countermeasures for Modern Applications

Making Futures Work: Integrating Thinking for Design, Innovation, and Strategy

Think STATS: Exploratory Data Analysis

Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready Applications

Hands On Unsupervised Learning Using Python: How to Build Applied Machine Solutions...

Leading Effective Engineering Teams: Lessons for Individual Contributors and Managers from 10...

Efficient MySQL Performance: Best Practices and Techniques

Defensive Security Handbook: Best Practices for Securing Infrastructure

Hello, Startup: A Programmer's Guide to Building Products, Technologies, and Teams

Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools

Kafka The Definitive Guide: Real Time Data and Stream Processing at Scale

Fundamentals of Data Observability: Implement Trustworthy End To Solutions

Hands On LLM Serving and Optimization: Hosting LLMs at Scale

Python Data Science Handbook: Essential Tools for Working with

Building Medallion Architectures: Designing with Delta Lake and Spark

Building Secure and Reliable Systems: Best Practices for Designing, Implementing, Maintaining Systems

Hands On Large Language Models: Understanding and Generation

Q# Pocket Guide: Instant Help for Developers

Make Rockets: Down To Earth Rocket Science

Machine Learning and Security: Protecting Systems with Data Algorithms

Design Patterns for Cloud Native Applications: in Practice Using APIs, Data, Events, and Streams

Engineering for Industrial Designers and Inventors: Fundamentals of Wonderful Things

Lean Analytics: Use Data to Build a Better Startup Faster

97 Things Every Java Programmer Should Know: Collective Wisdom from the Experts

Continuous Delivery in Java: Essential Tools and Best Practices for Deploying Code to Production