Avril Aysha

Results 60 issues of Avril Aysha

**Current situation** Portions of the `dask.dataframe` API are copied over directly from `pandas` using the `@derived_from` decorator. This pulls in the pandas docstring for the corresponding object and adds the...

good first issue
documentation

**What happened**: Calling `distributed.Client()` causes Jupyter Kernel to crash. Running it in IPython errors with the following message: `zsh: segmentation fault ipython` Running `conda update ipython` solves the problem **even...

This [Dask Examples notebook](https://github.com/dask/dask-examples/blob/main/machine-learning/xgboost.ipynb) uses the deprecated `dask-xgboost` rather than the native XGBoost integration. Tweaking the notebook should be relatively straightforward by following the example code in [this blog](https://coiled.io/blog/dask-xgboost-python-example/) ```...

Perhaps a known issue, but googling "dask ml train test split", I get a faulty link to the dask-ml docs as the first hit. Would be great if this links...

I'm following the README instructions to install `dask-deltatable` from `conda-forge`. It fails with the following error message ``` UnsatisfiableError: The following specifications were found to be incompatible with each other:...

bug
packaging

To reproduce: - create new mamba/conda env - `mamba install python==3.11 pip` - `pip install deltalake==0.14` - `pip install dask-deltatable` - run `import dask_deltatable` ``` ImportError: cannot import name '_write_new_deltalake'...

bug

Minor suggestion to clarify the README.

## Summary & Motivation ## How I Tested These Changes

area: docs

## Summary & Motivation ## How I Tested These Changes

area: docs

This adds an example notebook of using Delta Lake with Daft. Content from this notebook will be used to build an integration docs page for `delta-rs`, PR for that is...