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Learning pandas. High performance data manipulation and analysis using Python - Second Edition
Nicola Rainiero, Sonali Dayal, Michael Heydt
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EBOOK
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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.
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.
- 1. pandas and Data Science and Analysis
- 2. Up and running with pandas
- 3. Representing univariate data with the Series
- 4. Representing tabular and multivariate data with the DataFrame
- 5. Manipulation and indexing of DataFrame objects
- 6. Indexing Data
- 7. Categorical Data
- 8. Numeric and Statistical Methods
- 9. Grouping and Aggregating Data
- 10. Tidying Up Your Data
- 11. Combining, Relating and Reshaping Data
- 12. Data Aggregation
- 13. Time-Series Modelling
- 14. Visualization
- 15. Applications to Finance
- Title:Learning pandas. High performance data manipulation and analysis using Python - Second Edition
- Author:Nicola Rainiero, Sonali Dayal, Michael Heydt
- Original title:Learning pandas. High performance data manipulation and analysis using Python - Second Edition
- ISBN:9781787120310, 9781787120310
- Date of issue:2017-06-30
- Format:Ebook
- Item ID: e_15m1
- Publisher: Packt Publishing
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