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Node.js Design Patterns: Design and implement production-grade Node.js applications using proven patterns and

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Building Micro-Frontends: Scaling Teams and Projects, Empowering Developers, Luca Mezzalira

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Practical Process Automation: Orchestration and Integration in Microservices and Cloud Native Architectures,

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High Performance Python: Practical Performant Programming for Humans 2nd Edition, Micha Gorelick

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Spring Batch in Action, Arnaud Cogoluegnes, Thierry Templier, Gary Gregory, Olivier Bazoud, more

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Node.js in Practice, Alex R. Young, Marc Harter

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Silverlight 5 in Action: Revised Edition of Silverlight 4 in Action, Pete Brown

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Third-Party JavaScript, Ben Vinegar, Anton Kovalyov

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CoreOS in Action: Running Applications on Container Linux, Matt Bailey

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Microservices in .NET Core: with examples in Nancy, Christian Horsdal Gammelgaard

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IBatis in Action, Begin, Clinton, Goodin, Brandon, Meadors

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Managing Software Requirements: A Use Case Approach (The Addison-wesley Object Technology Series), Dean

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(Full color) Inside the Machine: An Illustrated Introduction to Microprocessors and Computer Architecture, Jon

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Cloud Native Data Center Networking: Architecture, Protocols, and Tools, Dinesh Dutt

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Foundations for Analytics with Python: From Non-Programmer to Hacker, Clinton Brownley

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Thoughtful Machine Learning with Python: A Test-Driven Approach, Matthew Kirk

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Programming with MicroPython: Embedded Programming with Microcontrollers and Python, Nicholas Tollervey

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Build a Binary Clock with Elixir and Nerves: Use Layering to Produce Better Embedded Systems, Frank Hunleth,

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Dependency Injection in .NET, Mark Seemann

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Practical Linux System Administration: A Guide to Installation, Configuration, and Management, Kenneth Hess

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Tragic Design: The Impact of Bad Product Design and How to Fix It, Jonathan Shariat, Cynthia Savard Saucier

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Idiomatic Rust: Code like a Rustacean, Brenden Matthews

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Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence, Bonny P. McClain

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

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Pandas Workout: 200 exercises to make you a stronger data analyst, Reuven Lerner

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Deep Learning at Scale: At the Intersection of Hardware, Software, and Data, Suneeta Mall

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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark, Mahmoud Parsian

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Elegant SciPy: The Art of Scientific Python, Juan Nunez-Iglesias, Stéfan van der Walt, Harriet Dashnow, more

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Anonymizing Health Data: Case Studies and Methods to Get You Started, Khaled El Emam, Luk Arbuckle

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