This book is ideal for data scientists, data analysts, and Python programmers who want to plunge into data analysis using pandas, and anyone curious about analyzing data. Some knowledge of statistics and programming will help you to get the most out of this book but that's not strictly required. Prior exposure to pandas is also not required.
Learning pandas - Second Edition
By :
Learning pandas - Second Edition
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Overview of this book
You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance.
With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.
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Current Title:
Learning pandas - Second Edition
Table of Contents (16 chapters)
Preface
Free Chapter
pandas and Data Analysis
Up and Running with pandas
Representing Univariate Data with the Series
Representing Tabular and Multivariate Data with the DataFrame
Manipulating DataFrame Structure
Indexing Data
Categorical Data
Numerical and Statistical Methods
Accessing Data
Tidying Up Your Data
Combining, Relating, and Reshaping Data
Data Aggregation
Time-Series Modelling
Visualization
Historical Stock Price Analysis
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