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Python for data analysis

Python for data analysis — Сторінка 51

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Command-Line Rust: A Project-Based Primer for Writing Rust CLIs, Ken Youens-Clark

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

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

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

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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Reactive Systems in Java: Resilient, Event-Driven Architecture with Quarkus, Clement Escoffier, Ken Finnigan

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Cloud Without Compromise: Hybrid Cloud for the Enterprise, Paul Zikopoulos, Christopher Bienko, Chris Backer,

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd

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Terraform in Action, Scott Winkler

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

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

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Using Asyncio in Python: Understanding Python's Asynchronous Programming Features, Caleb Hattingh

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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines, Barr Moses, Lior

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Data-Oriented Programming: Reduce software complexity, Yehonathan Sharvit

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Unity in Action, Third Edition: Multiplatform game development in C# 3rd Edition, Joe Hocking

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Gatsby: The Definitive Guide: Build and Deploy Highly Performant Jamstack Sites and Applications, Preston So

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Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand, Ankur

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Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines, Yada

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Learn Docker in a Month of Lunches, Elton Stoneman

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Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example, Mitch Seymour

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Write Great Code, Volume 2, 2nd Edition: Thinking Low-Level, Writing High-Level 2nd Edition, Randall Hyde

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Cybersecurity Ops with bash: Attack, Defend, and Analyze from the Command Line, Paul Troncone, Carl Albing

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Compilers: Principles, Techniques, and Tools, 2nd Edition, Alfred V. Aho, Monica S. Lam, Ravi Sethi, Jeffrey

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Grokking Bitcoin, Kalle Rosenbaum

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

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Kubernetes: Up and Running: Dive into the Future of Infrastructure 3rd Edition, Brendan Burns, Joe Beda,

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100 Go Mistakes and How to Avoid Them, Teiva Harsanyi

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Natural Language Processing with Transformers: Building Language Applications with Hugging Face, Lewis

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