Learning pandas
Pandas is a popular Python package used for practical, real world data analysis. It provides efficient fast, high-performance data structures that makes data exploration and analysis very easy. This learner's guide will help you through a comprehensive set of features provided by the pandas library to perform efficient data manipulation and analysis.
Offered by
Difficulty Level
Intermediate
Completion Time
14h52m
Language
English
About Book
Who Is This Book For?
This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required.
Learning pandas
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h52m total length
pandas and Data Science and Analysis
Up and running with pandas
Representing univariate data with the Series
Representing tabular and multivariate data with the DataFrame
Manipulation and indexing of DataFrame objects
Indexing Data
Categorical Data
Numeric and Statistical Methods
Grouping and Aggregating Data
Tidying Up Your Data
Combining, Relating and Reshaping Data
Data Aggregation
Time-Series Modelling
Visualization
Applications to Finance
Related Resources
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