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Python for data analysis
Python for data analysis — Сторінка 64
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Machine Learning Interviews: Kickstart Your Machine Learning and Data Career, Susan Shu Chang
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Learning Apache Drill: Query and Analyze Distributed Data Sources With SQL, Charles Givre, Paul Rogers
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Web Development with Node and Express: Leveraging the JavaScript Stack 2nd Edition, Ethan Brown
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Kubernetes Cookbook: Building Cloud Native Applications 2nd Edition, Sameer Naik, Sébastien Goasguen, Jonathan
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97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts, Tobias Macey
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Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP)
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NGINX Unit Cookbook: Recipes for Using a Versatile Open Source Server, Derek DeJonghe
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97 Things Every UX Practitioner Should Know: Collective Wisdom from the Experts, Daniel Berlin
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The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight, Sandeep Uttamchandani
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Tidy First?: A Personal Exercise in Empirical Software Design, Kent Beck, Larry Constantine
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The Art of Agile Development 2nd Edition, James Shore, Shane Warden
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative
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Distributed Machine Learning Patterns, Yuan Tang
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Pandas in Action, Boris Paskhaver
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Analytics Engineering with SQL and dbt: Building Meaningful Data Models at Scale, Rui Pedro Machado, Helder
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