pandas-getting-started-tutorials

Draft setup of tutorials to support the getting started pages of the Pandas documentations

Table of Contents

1. A DataFrame Explained
2. Load and Save DataFrames
3. Query DataFrames
4. Plot Data
5. Add Columns
6. Calculate Statistics
7. Reshape Table Layout
8. Combine DataFrames
9. Timeseries
10. Text data

Lesson setup notes

Glossary

• A pandas DataFrame has columns and row indices, which are defined as column/row labels
• community agreed alias for pandas is pd
• textual data consists of strings
• one can call methods on DataFrames and Series, these methods do have parameters which are declared by method arguments (the value passed) on the function call
• DataFrames and Series do have attributes like dtypes,...

Useful remarks on lesson setup

• Perhaps don't encourage users to jump ahead to future lessons, though in future lessons it does make sense to link back to previous lessons.
• If you are familiar to... pattern

General checks to do (consistency,...)

• Use lowercase for pandas
• Use "" rather than '' quotes
• NaN instead of Nan,...
• source data setup: datetime as orginal data instead of date.utc