Avril Aysha
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...
**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:...
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'...
Minor suggestion to clarify the README.
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...