
eBook - ePub
Pandas Cookbook
Practical recipes for scientific computing, time series, and exploratory data analysis using Python
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Pandas Cookbook
Practical recipes for scientific computing, time series, and exploratory data analysis using Python
About this book
From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects.
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Key Features
- This book targets features in pandas 2.x and beyond
- Practical, easy to implement recipes for quick solutions to common problems in data using pandas
- Master the fundamentals of pandas to quickly begin exploring any dataset
Book Description
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.What you will learn
- The pandas type system and how to best navigate it
- Import/export DataFrames to/from common data formats
- Data exploration in pandas through dozens of practice problems
- Grouping, aggregation, transformation, reshaping, and filtering data
- Merge data from different sources through pandas SQL-like operations
- Leverage the robust pandas time series functionality in advanced analyses
- Scale pandas operations to get the most out of your system
- The large ecosystem that pandas can coordinate with and supplement
Who this book is for
This book is for Python developers, data scientists, engineers, and analysts. pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas
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Yes, you can access Pandas Cookbook by William Ayd,Matthew Harrison in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Preface
- pandas Foundations
- Selection and Assignment
- Data Types
- The pandas I/O System
- Algorithms and How to Apply Them
- Visualization
- Reshaping DataFrames
- Group By
- Temporal Data Types and Algorithms
- General Usage and Performance Tips
- The pandas Ecosystem
- Index