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- Lazy Frame
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Classroom Contents
Ultimate Guide to Polars - Python Data Science Library for High-Performance Analytics
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- 1 - intro
- 2 - Polars in Google Colab
- 3 - Lazy Frame
- 4 - Querying
- 5 - GPU Engine
- 6 - Simulated Transactions Dataset
- 7 - Install Polars and GPU Engine locally
- 8 - Read CSV File with Polars
- 9 - Compress CSV to Parquet
- 10 - Read Parquet File with Polars
- 11 - Select Statement
- 12 - Filter Statement
- 13 - Column Data Types
- 14 - Multiple Filters
- 15 - Group By Statement
- 16 - GPU Versus CPU
- 17 - Multiple Aggregations
- 18 - Bar Chart
- 19 - Scatter Plot
- 20 - Chart Width
- 21 - Chart Z Axis with Colors
- 22 - Mark Styling
- 23 - Chart Title
- 24 - Tooltip Customization
- 25 - Solve Max Rows Error
- 26 - Thanks for Watching
