Polars course #40
Description
Description
We're building a course on Polars, and are seeking contributing authors! Contributors will be credited as authors in the course's directory, and in the notebooks they contribute.
Claiming a notebook.
Any notebook without an assigned author needs a contributor. To get started, leave a comment to claim a notebook you'd like to contribute, and then create a pull request with your draft. Tutorials with a "🍃" are meant to highlight marimo features that give Polars superpowers.
| Notebook | Description | Status | Author |
|---|---|---|---|
| Why Polars | An introduction to Polars and its advantages over other Dataframe libraries. | ✅ | @koushikkhan |
| Dataframes | The central data structure for structured data | ✅ | @Jystine |
| Loading data | Loading data from various different sources | 🚧 | @etrotta |
| Basic operations | Basic operations on data | ✅ | @jorammutenge |
| Reactive plots 🍃 | How to select data from Altair or Plotly plots and get them back as dataframes | ✅ | @etrotta |
| Dataframe transformer 🍃 | Using marimo's built in table viewer and dataframe transformer | ✅ | @jesshart |
| Querying dataframes with SQL 🍃 | Using marimo's SQL cells to query Polars dataframes | ✅ | @debajyotid2 |
| Working with columns | Expression expansion and columns | ✅ | @debajyotid2 |
| Data types | Basic types and casting | ✅ | @debajyotid2 |
| Strings | Working with strings | ✅ | @peter-gy |
| Missing data | Handling missing data | 🚧 | @folicks |
| Aggregations | Group bys and aggregations | ✅ | @jorammutenge |
| Window functions | Advanced expressions with windowing functions | ✅ | @henryharbeck |
| User-defined functions | Using custom Python operations | ✅ | @peter-gy |
| NumPy functions | Applying NumPy functions to Dataframes | 🚧 | @debajyotid2 |
| Lazy execution | Lazily process queries with LazyFrames | ✅ | @debajyotid2 |