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Python for data analysis

Python for data analysis — Сторінка 13

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

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

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Tiny Python Projects: 21 small fun projects for Python beginners designed to build programming skill, teach

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Java: The Complete Reference, 12th Edition, Herbert Schildt

Java: The Complete Reference, 12th Edition, Herbert Schildt

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Designing Autonomous AI: A Guide for Machine Teaching, Kence Anderson

Designing Autonomous AI: A Guide for Machine Teaching, Kence Anderson

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Skills of a Successful Software Engineer, Fernando Doglio

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Building Secure and Reliable Systems: Best Practices for Designing, Implementing, and Maintaining Systems,

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Designing Cloud Data Platforms, Danil Zburivsky, Lynda Partner

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Learning Chaos Engineering: Discovering and Overcoming System Weaknesses Through Experimentation, Russ Miles

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Learn Kubernetes in a Month of Lunches, Elton Stoneman

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The Well-Grounded Java Developer, 2nd Edition, Benjamin Evans, Jason Clark, Martijn Verburg

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Rust for Rustaceans: Idiomatic Programming for Experienced Developers, Jon Gjengset

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Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines, Chris Fregly,

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Advancing into Analytics: From Excel to Python and R, George Mount

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Consul: Up & Running: Service Mesh for Any Runtime or Cloud, Luke Kysow

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Five Lines of Code: How and when to refactor, Christian Clausen

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Knative Cookbook: Building Effective Serverless Applications with Kubernetes and OpenShift, Burr Sutter ,

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Reinforcement Learning: Industrial Applications of Intelligent Agents, Phil Winder

870 ₴

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Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and

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Tribe of Hackers: Cybersecurity Advice from the Best Hackers in the World, Marcus J. Carey, Jennifer Jin

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The Ultimate Kali Linux Book: Perform advanced penetration testing using Nmap, Metasploit, Aircrack-ng, and

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Chaos Engineering: Site reliability through controlled disruption, Mikolaj Pawlikowski

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Write Great Code, Volume 3: Engineering Software, Randall Hyde

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Object Design Style Guide: Powerful techniques for creating flexible, readable, and maintainable

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Modernizing Enterprise Java: A Concise Cloud Native Guide for Developers, Markus Eisele, Natale Vinto

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Java Persistence with Spring Data and Hibernate, Catalin Tudose

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DevOps Tools for Java Developers: Best Practices from Source Code to Production Containers, Stephen

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Learn to Code by Solving Problems: A Python Programming Primer, Daniel Zingaro

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Distributed Tracing in Practice: Instrumenting, Analyzing, and Debugging Microservices, Austin Parker, Daniel

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Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform, Rosemary Wang

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PowerShell for Sysadmins: Workflow Automation Made Easy, Adam Bertram

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