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Programming Computer Vision with Python

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Programming PyTorch for Deep Learning : Creating and Deploying Deep Learning Applications

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Prometheus: Up & Running : Infrastructure and Application Performance Monitoring

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Python Data Science Handbook: Essential Tools for Working with Data

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Python for Data Analysis 3e : Data Wrangling with pandas, NumPy, and Jupyter

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Python for Geospatial Data Analysis : Theory, Tools, and Practice for Location Intelligence

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Python in a Nutshell: A Desktop Quick Reference

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Q# Pocket Guide : Instant Help for Q# Developers

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Qiskit Pocket Guide : Quantum Development with Qiskit

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Quarkus Cookbook : Kubernetes-Optimized Java Solutions

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R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics

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

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R Packages : Organize, Test, Document, and Share Your Code

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Raspberry Pi Cookbook, 4E : Software and Hardware Problems and Solutions

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React Native Cookbook : Bringing the Web to Native Platforms

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Reactive Programming with RxJava

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Real-World Software Development

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Reliable Machine Learning : Applying SRE Principles to ML in Production

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

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Ruby Cookbook 2e

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Rust Atomics and Locks : Low-Level Concurrency in Practice

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Scaling Machine Learning with Spark : Distributed ML with MLlib, TensorFlow, and PyTorch

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Scaling Python with Ray : Adventures in Cloud and Serverless Patterns

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Security as Code : DevSecOps Patterns with AWS

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