Dask Examples
Dask Examples¶
These examples show how to use Dask in a variety of situations.
First, there are some high level examples about various Dask APIs like arrays, dataframes, and futures, then there are more in-depth examples about particular features or use cases.
You can run these examples in a live session here: 
Basic Examples
Dataframes
- DataFrames: Read and Write Data
- DataFrames: Groupby
- Gotcha’s from Pandas to Dask
- Create 2 DataFrames for comparison:
- Dask Dataframe vs Pandas Dataframe
- Read / Save files
- Group By - custom aggregations
- DataFrames: Reading in messy data
- Make some messy data
- Reading the messy data
- Building a delayed reader
- Assembling the dask dataframe
Machine Learning
- Blockwise Ensemble Methods
- Scale Scikit-Learn for Small Data Problems
- Score and Predict Large Datasets
- Batch Prediction with PyTorch
- Train Models on Large Datasets
- Incrementally Train Large Datasets
- Text Vectorization Pipeline
- Hyperparameter optimization with Dask
- Scale XGBoost
- Use Voting Classifiers
- Automate Machine Learning with TPOT
- Generalized Linear Models
- Singular Value Decomposition
Applications