This book assumes some familiarity with programming concepts, but those without programming experience, or specifically Python programming experience, will be comfortable with the examples as they focus on pandas constructs more than Python or programming. The examples are based on Anaconda Python 2.7 and pandas 0.15.1. If you do not have either installed, guidance will be given in Chapter 2, Up and Running with pandas, regarding installing pandas on installing both on Windows, OSX, and Ubuntu systems. For those not interested in installing any software, instruction is also given on using the Warkari.io online Python data analysis service.
Learning pandas - Second Edition
By :
Learning pandas - Second Edition
By:
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.
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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