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Компьютерные книги

Компьютерные книги — Страница 22

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Foundations of Mathematical Economics, Michael Carter

Foundations of Mathematical Economics, Michael Carter

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Data Science Essentials in Python: Collect - Organize - Explore — Predict, Dmitry Zinoviev

Data Science Essentials in Python: Collect - Organize - Explore — Predict, Dmitry Zinoviev

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Full-Stack Web Development with Jakarta EE and Vue.js: Your One-Stop Guide to Building Modern Full-Stack

Full-Stack Web Development with Jakarta EE and Vue.js: Your One-Stop Guide to Building Modern Full-Stack

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Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS, Sam Alapati

Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS, Sam Alapati

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Effective Go Recipes: Fast Solutions to Common Tasks, Miki Tebeka

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Introduction to Machine Learning with Python: A Guide for Data Scientists, Andreas C. Müller, Sarah Guido

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NGINX Cookbook: Advanced Recipes for High-Performance Load Balancing 3rd Edition, Derek DeJonghe

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Mastering REST APIs: Boosting Your Web Development Journey with Advanced API Techniques, Sivaraj Selvaraj

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IOS Unit Testing by Example: XCTest Tips and Techniques Using Swift, Jon Reid

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Security on Rails, Ben Poweski, David Raphael

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Build Your Own Programming Language: A programmer's guide to designing compilers, interpreters, and DSLs for

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Test-Driven Development with React: Apply Test-Driven Development in Your Applications, Juntao Qiu

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Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using

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Angular Design Patterns and Best Practices: Create scalable and adaptable applications that grow to meet

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Pragmatic Unit Testing in C# with NUnit, 2nd Edition Second Edition, Andy Hunt, Dave Thomas, Matt Hargett,

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Data Engineering with Google Cloud Platform: A guide to leveling up as a data engineer by building a scalable

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How to Go Digital: Practical Wisdom to Help Drive Your Organization's Digital Transformation, MIT Sloan

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Lean Analytics: Use Data to Build a Better Startup Faster, Alistair Croll, Benjamin Yoskovitz

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Hands-On Microservices with Django: Build cloud-native and reactive applications with Python using Django 5,

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Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs, James Phoenix, Mike Taylor

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Data Governance Handbook: A practical approach to building trust in data, Wendy S Batchelder

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Learning Systems Thinking: Essential Nonlinear Skills and Practices for Software Professionals, Diana

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Microcontroller Exploits, Travis Goodspeed

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Data Science, John D. Kelleher, Brendan Tierney

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Engineering Resilient Systems on AWS: Design, Build, and Test for Resilience, Kevin Schwarz, Jennifer Moran,

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Practical GraphQL: Learning Full-Stack GraphQL Development with Projects, Nabendu Biswas

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Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutions, Dumky De

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React for Real: Front-end Code, Ludovico Fischer

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Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow, Abhinav

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Program Proofs, K. Rustan M. Leino, Kaleb Leino

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