Learn about the features of Python that can help you make sense of your data.
Overview
Syllabus
Introduction
- Python and Data: Made for each other
- Getting Set Up
- The sample data set
- Using built-in functions
- Finding min and max values
- Data utility functions
- Sorting data
- Data filtering
- Data transformation
- Challenge: Build a data summary
- Solution: Build a data summary
- Overview of collection classes
- Named tuples
- Default dictionaries
- Counters
- The deque class
- Challenge: Classify event types
- Solution: Classify event types
- Overview of serialization
- Serializing data as CSV
- Serializing data as JSON
- Deserialization of data
- Challenge: Create a CSV file
- Solution: Create a CSV file
- Overview of logging
- Basic logging
- Custom logging
- Next steps
Taught by
Joe Marini
