Pandas Cookbook - Practical Recipes for Scientific Computing, Time Series, and Exploratory Data Analysis Using Python (3rd Edition)

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 gui...

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Hlavní autoři: Ayd, William, Harrison, Matthew, McKinney, Wes
Médium: E-kniha
Jazyk:angličtina
Vydáno: Birmingham Packt Publishing 2024
Packt Publishing, Limited
Vydání:3
Témata:
Data mining
Programming Languages
Programming languages (Electronic computers)
Python (Computer program language)
Software Engineering
ISBN:9781836205876, 1836205872
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Shrnutí: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.
ISBN:9781836205876
1836205872
DOI:10.0000/9781836205869