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Python for data analysis

Python for data analysis — Страница 44

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Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud, Sev Leonard

Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud, Sev Leonard

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Arduino Cookbook: Recipes to Begin, Expand, and Enhance Your Projects 3rd Edition, Michael Margolis, Brian

Arduino Cookbook: Recipes to Begin, Expand, and Enhance Your Projects 3rd Edition, Michael Margolis, Brian

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Unity Game Development Cookbook: Essentials for Every Game, Paris Buttfield-Addison, Jonathon Manning, Tim

Unity Game Development Cookbook: Essentials for Every Game, Paris Buttfield-Addison, Jonathon Manning, Tim

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Digitalization of Financial Services in the Age of Cloud: Considerations for Your Organization's Cloud

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Data Science: The Hard Parts: Techniques for Excelling at Data Science, Daniel Vaughan

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97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts, Camille Fournier

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Kubeflow Operations Guide: Managing Cloud and On-Premise Deployment, Josh Patterson, Michael Katzenellenbogen,

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97 Things Every Scrum Practitioner Should Know: Collective Wisdom from the Experts, Gunther Verheyen

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Implementing MLOps in the Enterprise: A Production-First Approach, Yaron Haviv, Noah Gift

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Applied Embedded Electronics: Design Essentials for Robust Systems, Jerry Twomey

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Embedded Analytics: Integrating Analysis with the Business Workflow, Donald Farmer, Jim Horbury

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Bash Idioms: Write Powerful, Flexible, Readable Shell Scripts, Carl Albing, JP Vossen

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Data Quality Engineering in Financial Services: Applying Manufacturing Techniques to Data, Brian Buzzelli

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Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research

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97 Things Every Java Programmer Should Know: Collective Wisdom from the Experts, Kevlin Henney, Trisha Gee

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Delta Lake: Up and Running; Modern Data Lakehouse Architectures With Delta Lake, Bennie Haelen, Dan Davis

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Accelerating Cloud Adoption: Optimizing the Enterprise for Speed and Agility, Michael Kavis

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97 Things Every Information Security Professional Should Know: Collective Wisdom from the Experts, Christina

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Programming iOS 14: Dive Deep into Views, View Controllers, and Frameworks, Matt Neuburg

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Artificial Intelligence in Finance: A Python-Based Guide, Yves Hilpisch

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Learning Airtable: Building Database-Driven Applications with No-Code, Elliott Adams

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Learning GraphQL: Declarative Data Fetching for Modern Web Apps, Eve Porcello, Alex Banks

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The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science, Alex Gorelik

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Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python, Sofien

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97 Things Every Cloud Engineer Should Know: Collective Wisdom from the Experts, Emily Freeman, Nathen Harvey

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AI for People and Business: A Framework for Better Human Experiences and Business Success, Alex Castrounis

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Product Research Rules: Nine Foundational Rules for Product Teams to Run Accurate Research that Delivers

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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow, Hannes Hapke, Catherine

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Kubernetes Cookbook: Building Cloud Native Applications 2nd Edition, Sameer Naik, Sébastien Goasguen, Jonathan

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How Computers Really Work: A Hands-On Guide to the Inner Workings of the Machine, Matthew Justice

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