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Python for data analysis

Python for data analysis — Сторінка 29

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Grokking Machine Learning, Luis Serrano

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Spring Security in Action, Laurentiu Spilca

Spring Security in Action, Laurentiu Spilca

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PyTorch Pocket Reference: Building and Deploying Deep Learning Models, Joe Papa

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Reinforcement Learning: Industrial Applications of Intelligent Agents, Phil Winder

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Spring Start Here: Learn what you need and learn it well, Laurentiu Spilca

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

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Learning Serverless: Design, Develop, and Deploy with Confidence, Jason Katzer

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Hybrid Cloud Apps with OpenShift and Kubernetes: Delivering Highly Available Applications and Services,

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Software Architecture with C++: Design modern systems using effective architecture concepts, design patterns,

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API Design Patterns, JJ Geewax

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Learning Kali Linux: Security Testing, Penetration Testing, and Ethical Hacking, Ric Messier

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Expert Python Programming: Master Python by learning the best coding practices and advanced programming

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

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Ng-book: The Complete Guide to Angular 4, Nathan Murray, Ari Lerner, Felipe Coury, Carlos Taborda

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

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Data Mesh in Action, Jacek Majchrzak, Sven Balnojan, Marian Siwiak, more

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Experimentation for Engineers: From A/B testing to Bayesian optimization, David Sweet

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Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data

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Crafting Rails 4 Applications: Expert Practices for Everyday Rails Development (The Facets of Ruby) Second

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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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Enterprise API Management: Design and deliver valuable business APIs, Luis Weir, Zdenek "Z" Nemec

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Cloud Native Spring in Action: With Spring Boot and Kubernetes, Thomas Vitale

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Programming Quantum Computers: Essential Algorithms and Code Samples, Eric Johnston, Nic Harrigan, Mercedes

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Becoming a Better Programmer: A Handbook for People Who Care About Code, Pete Goodliffe

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Learning HTTP/2: A Practical Guide for Beginners, Stephen Ludin, Javier Garza

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Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise, Daniel Vaughan

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Cloud Native: Using Containers, Functions, and Data to Build Next-Generation Applications, Boris Scholl, Trent

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Docker Cookbook: Solutions and Examples for Building Distributed Applications, Sébastien Goasguen

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