Pandas Cookbook
Explore pandas, the powerful Python library for data analysis and manipulation by working on real-world datasets. Get to grips with the fundamentals and learn to use pandas to clean messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.
Offered by
Difficulty Level
Intermediate
Completion Time
17h44m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory.
Pandas Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 17h44m total length
Pandas Foundations
Essential DataFrame Operations
Beginning Data Analysis
Selecting Subsets of Data
Boolean Indexing
Index Alignment
Grouping for Aggregation, Filtration and Transformation
Restructuring Data into Tidy Form
Joining multiple pandas objects
Time Series
Visualization
Related Resources
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