The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.
This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.
publication date
2020-02-27
what you will learn
Master data exploration in pandas through dozens of practice problems
Group, aggregate, transform, reshape, and filter data
Merge data from different sources through pandas SQL-like operations
Create visualizations via pandas hooks to matplotlib and seaborn
Use pandas, time series functionality to perform powerful analyses
Import, clean, and prepare real-world datasets for machine learning
Create workflows for processing big data that doesn’t fit in memory
key features
This is the first book on pandas 1.x * 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
approach
The book is filled with recipes to deliver very detailed explanations for each line of code. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.
audience
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.
short description
A new edition of the bestselling Pandas cookbook updated to pandas 1.x with new chapters on creating and testing, and exploratory data analysis. Recipes are written with modern pandas constructs. This book also covers EDA, tidying data, pivoting data, time-series calculations, visualizations, and more.
subtitle
Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python
keywords
Data wrangling, data manipulation, Boolean indexing, statistical computing, scientific computing, data science, tidy data, data exploration, Exploratory data analysis, pandas cookbook, scientific computation, pandas python, python pandas, pandas book
Product ISBN
9781839213106
