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Python for data analysis

Python for data analysis — Сторінка 61

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Write Great Code, Volume 1, 2nd Edition: Understanding the Machine 2nd Edition, Randall Hyde

Write Great Code, Volume 1, 2nd Edition: Understanding the Machine 2nd Edition, Randall Hyde

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Portlets in Action: Covers Portlet 2.0, Spring 3.0, Portlet MVC, WSRP 2.0, Portlet Bridges, Ajax, Comet,

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SQR in PeopleSoft and Other Applications Second Edition: PeopleSoft v.8 2nd Edition, Vlad Landres, Galina

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Anonymizing Health Data: Case Studies and Methods to Get You Started, Khaled El Emam, Luk Arbuckle

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Mastering Python Networking: Utilize Python packages and frameworks for network automation, monitoring, cloud,

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Oculus Rift in Action, Bradley Austin Davis, Karen Bryla, Phillips Alexander Benton, more

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Math for Security: From Graphs and Geometry to Spatial Analysis, Daniel Reilly

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Cloud FinOps: Collaborative, Real-Time Cloud Financial Management, J.R. Storment, Mike Fuller

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Pro DAX and Data Modeling in Power BI: Creating the Perfect Semantic Layer to Drive Your Dashboard Analytics,

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AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning, Tobias

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Hibernate Quickly, Patrick Peak, Nick Heudecker

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Dependency Injection in .NET, Mark Seemann

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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, Hadley Wickham, Mine Çetinkaya-Rundel,

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Griffon In Action, Danno Ferrin James Shingler Andres Almiray

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Programming the Internet of Things: An Introduction to Building Integrated, Device-to-Cloud IoT Solutions,

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

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