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Cracking the coding interview

Cracking the coding interview — Сторінка 41

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Kubernetes Patterns: Reusable Elements for Designing Cloud-Native Applications, Bilgin Ibryam

Kubernetes Patterns: Reusable Elements for Designing Cloud-Native Applications, Bilgin Ibryam

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Spring in Action, Sixth Edition, Craig Walls, Craig Walls

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Designing with Data: Improving the User Experience with A/B Testing, Rochelle King, Elizabeth Churchill,

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Spring Boot: Up and Running: Building Cloud Native Java and Kotlin Applications, Mark Heckler

Spring Boot: Up and Running: Building Cloud Native Java and Kotlin Applications, Mark Heckler

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Building Machine Learning Powered Applications: Going from Idea to Product, Emmanuel Ameisen

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React: Up & Running: Building Web Applications 2nd Edition, Stoyan Stefanov

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Building Maintainable Software, C# Edition: Ten Guidelines for Future-Proof Code, Joost Visser

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Web Security for Developers: Real Threats, Practical Defense, Malcolm McDonald

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Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven

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JavaScript Cookbook: Programming the Web 3rd Edition, Adam D. Scott, Matthew MacDonald, Shelley Powers

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Learning Unix for OS X: Going Deep With the Terminal and Shell 2nd Edition, Dave Taylor

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Python for Excel: A Modern Environment for Automation and Data Analysis, Felix Zumstein

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Efficient MySQL Performance: Best Practices and Techniques, Daniel Nichter

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Value Proposition Design: How to Create Products and Services Customers Want, Alexander Osterwalder, Yves

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Learning MySQL: Get a Handle on Your Data 2nd Edition, Vinicius M. Grippa

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Documenting Software Architectures. Views and Beyond. 2nd ed Clements, Clements

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AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence, Laurence Moroney

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Google Apps Script: Web Application Development Essentials 2nd Edition, James Ferreira

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Computer Science Unleashed: Harness the Power of Computational Systems, Wladston Ferreira Filho

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Programming PHP: Creating Dynamic Web Pages 4th Edition, Kevin Tatroe, Peter MacIntyre

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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and

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Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions, Michael Munn, David

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Database Internals: A Deep Dive into How Distributed Data Systems Work, Alex Petrov

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Good Code, Bad Code: Think like a software engineer, Tom Long

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Linux Basics for Hackers: Getting Started with Networking, Scripting, and Security in Kali,

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Learning UML 2.0: A Pragmatic Introduction to UML, Russ Miles, Kim Hamilton

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Data Mesh: Delivering Data-Driven Value at Scale, Zhamak Dehghani

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Black Hat Go: Go Programming For Hackers and Pentesters, Tom Steele

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Kubernetes – An Enterprise Guide: Effectively containerize applications, integrate enterprise systems, and

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