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Python for data analysis
Python for data analysis — Сторінка 49
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Observing the User Experience: A Practitioner's Guide to User Research 2nd Edition, Elizabeth Goodman Ph.D.
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Elasticsearch in Action, Second Edition 2nd Edition, Madhusudhan Konda
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Enterprise API Management: Design and deliver valuable business APIs, Luis Weir, Zdenek "Z" Nemec
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(Coloured) Laws of UX: Using Psychology to Design Better Products & Services, Jon Yablonski
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Continuous Integration: Improving Software Quality and Reducing Risk, Paul M. Duvall, Steve Matyas, Andrew
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Modern Computer Architecture and Organization: Learn x86, ARM, and RISC-V architectures and the design of
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Chaos Engineering: System Resiliency in Practice, Casey Rosenthal, Nora Jones
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Distributed Tracing in Practice: Instrumenting, Analyzing, and Debugging Microservices, Austin Parker, Daniel
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Knative Cookbook: Building Effective Serverless Applications with Kubernetes and OpenShift, Burr Sutter ,
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The Art of Clean Code: Best Practices to Eliminate Complexity and Simplify Your Life, Christian Mayer
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Cybersecurity for Small Networks: A No-Nonsense Guide for the Reasonably Paranoid, Seth Enoka
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Command-Line Rust: A Project-Based Primer for Writing Rust CLIs, Ken Youens-Clark
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Seriously Good Software: Code that works, survives, and wins, Marco Faella
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The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change, Eran Kinsbruner
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Learning Serverless: Design, Develop, and Deploy with Confidence, Jason Katzer
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The Art of Multiprocessor Programming 2nd Edition, Maurice Herlihy, Nir Shavit, Victor Luchangco, Michael
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Microservice APIs: Using Python, Flask, FastAPI, OpenAPI and more, Jose Haro Peralta
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Learning Chaos Engineering: Discovering and Overcoming System Weaknesses Through Experimentation, Russ Miles
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