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Python for data analysis

Python for data analysis — Страница 2

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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python 1st Edition

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python 1st Edition

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Modern PyQt: Create GUI Applications for Project Management, Computer Vision, and Data Analysis , Joshua

Modern PyQt: Create GUI Applications for Project Management, Computer Vision, and Data Analysis , Joshua

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Python for Finance: Analyze Big Financial Data 1st Edition, Yves Hilpisch

Python for Finance: Analyze Big Financial Data 1st Edition, Yves Hilpisch

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The Kaggle Book: Data analysis and machine learning for competitive data science, Konrad Banachewicz, Luca

The Kaggle Book: Data analysis and machine learning for competitive data science, Konrad Banachewicz, Luca

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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python, Mike Cohen

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Python for Finance: Analyze Big Financial Data 1st Edition

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Data Wrangling on AWS: Clean and organize complex data for analysis, Navnit Shukla, Sankar M, Sam Palani, more

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Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark, Akash

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Python Data Science Handbook: Essential Tools for Working with Data 2nd Edition, Jake VanderPlas

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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python 2nd Edition, Andrew Bruce

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Python Data Science Handbook: Essential Tools for Working with Data, Jake VanderPlas

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Python for Finance: Mastering Data-Driven Finance 2nd Edition, Yves J. Hilpisch

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Python for Everybody: Exploring Data in Python 3,, Dr. Charles Russell Severance, Sue Blumenberg, Elliott

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Mastering Python for Data Science, Samir Medhaven

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Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics,

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Introduction to Machine Learning with Python: A Guide for Data Scientists, Andreas C. Müller, Sarah Guido

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Streamlit for Data Science: Create interactive data apps in Python 2nd ed. Edition, Tyler Richards

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Data Analytics for Marketing: A practical guide to analyzing marketing data using Python, Guilherme

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Practical Electronics for Inventors, fourth 4th Edition,, Paul Scherz, Simon Monk

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 2nd E

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Programming: Principles and Practice Using C++ 3rd Edition, Bjarne Stroustrup

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ISTQB Certified Tester Foundation Level: A Self-Study Guide Syllabus v4.0 2024 Edition, Adam Roman

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