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Financial Data
This section works with a locally stored financial data set in the form of a CSV file. pandas provides a number of different functions and DataFrame methods to import data stored in different formats (CSV, SQL, Excel, etc.) and to export data to different formats.

Descriptive Statistics
Statistical analysis methods are often based on changes over time and not the absolute values themselves. There are multiple options to calculate the changes in a time series over time, including absolute differences, percentage changes, and logarithmic (log) returns.

Resampling
Resampling is an important operation on financial time series data. Usually this takes the form of downsampling, meaning that, for example, a tick data series is resampled to one-minute intervals or a time series with daily observations is resampled to one with weekly or monthly observations.

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