O'Reilly Media
Scaling Python with Dask: From Data Science to Machine Learning
O'reilly
Understanding Compression: Data Compression for Modern Developers
Mastering Bitcoin: Programming the Open Blockchain
Kafka Connect: Build and Run Data Pipelines
C# 10 in a Nutshell: The Definitive Reference
the Art of Community: Building New Age Participation
Learning Microsoft Azure: Cloud Computing and Development Fundamentals
Spark The Definitive Guide: Big data processing made simple
Learning Virtual Reality: Developing Immersive Experiences and Applications for Desktop, Web, Mobile
Software Architecture: The Hard Parts: Modern Trade Off Analyses for Distributed Architectures
Serverless Development on AWS: Building Enterprise Scale Solutions
Learning Agile: Understanding Scrum, Xp, Lean, and Kanban
Designing Delivery: Rethinking It in the Digital Service Economy
Domain Driven Transformation: Modernize Legacy Systems and Mitigate Risk
Data Contracts: Developing Production Grade Pipelines at Scale
Hot Seat: The Startup CEO Guidebook
Full Stack JavaScript Strategies: The Hidden Parts Every Mid Level Developer Needs to Know
Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale
Learning Test Driven Development: A Polyglot Guide to Writing Uncluttered Code
Fundamentals of Data Engineering: Plan and Build Robust Systems
Grpc: Up and Running: Building Cloud Native Applications with Go Java for Docker Kubernetes
Llms and Generative AI for Healthcare: The Next Frontier
The Effective Software Engineer: How ICS at Every Level Can Leverage Ai,...
Container Security: Fundamental Technology Concepts that Protect Containerized Applications
Practical Python Data Wrangling and Quality: Getting Started with Reading, Cleaning, Analyzing
Living Clojure: An Introduction and Training Plan for Developers
Identity Security for Software Development: Building with Identity, Secrets, and Credentials
The Hardware Startup: Building Your Product, Business, and Brand
Platform Engineering: A Guide for Technical, Product, and People Leaders
Advancing Into Analytics: From Excel to Python and R
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