Module 3: Pandas
Resources
Organisation
- Hour 1: the basics (concepts 1-4) and the first exercises
- Hour 2: slicing, renaming, summarising (concepts 5-7) and further exercises
- Hour 3: operations with datasets, rules for data management (concepts 8-9) and remaining exercises
Concepts
- What is modern Pandas?
- Anatomy of a DataFrame: column names and index
- Data types in Pandas
- Loading and saving data
- Renaming columns, setting indices
- Selection of rows and columns
- Inspecting and summarising data
- Concatenations and merge
- Rules for data management
Learning objectives
After this lesson, you should be able to:
Methods
- Create, save and manipulate DataFrames
- Organize your workflow, abiding by the rules of data management
Personal
- Being confident in managing data in Python
- Not being discouraged by seeing errors you do not understand immediately
Social
- Jointly fixing errors with your peers
Back to Data Management