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Okładka: Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition

Pandas Cookbook. Practical recipes for scientific computing, time series, and exploratory data analysis using Python - Third Edition

Autor: William Ayd, Matthew Harrison, Wes McKinney

ebook

125,10 zł 139,00 zł -10%

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Wydawca
Packt Publishing
Rodzaj
ebook
Stron
404
Data wydania
2024-10-31
ISBN
9781836205869

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Opis

Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features.
From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease.
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