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Python interface to the TileDB storage engine

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It would be great if aggregation supported dimension labels on both dense and sparse arrays, as it does `multi_index`. Currently, the below throws `AttributeError: 'Aggregation' object has no attribute 'label_index'`...

Let's throw an exception for the cases that the total domain size overflows a `uint64`, and the estimator returns the maximum amount of data that can be read at once...

I am trying to convert my project from using sparse arrays to dense arrays, and I ran into a lot of problems while trying to use the same methods I...

### Summary I am sharing my experience and looking for recommendations for indexing into dense `tiledb.Array`s with arbitrary integer indices (`np.ndarray`). ### Background I am considering tiledb as a unified...

First off, if this is a ```tiledb-vector-search``` issue instead please let me know...but here's the issue: I'm using langchain's tiled integration [located here](https://python.langchain.com/api_reference/community/vectorstores/langchain_community.vectorstores.tiledb.TileDB.html). I am specifically creating a database using...

Possibly related to https://github.com/TileDB-Inc/TileDB-Py/issues/2127 but I'm not sure because I'm not an expert in these things. Here is the error: ``` Traceback (most recent call last): File "C:\Users\Airflow\AppData\Local\Programs\Python\Python311\Lib\multiprocessing\process.py", line 314,...

The nightly build with earliest supported numpy job failed on Monday (2025-12-01) in run [19812052535](https://github.com/TileDB-Inc/TileDB-Py/actions/runs/19812052535)

bug
nightly-failure

Pin `manylinux` version to continue supporting `Python 3.9` after EOL. --- Resolves CORE-422.

This PR adds support for array writes through the `Query` class on the Python layer. This is particularly useful for global-order writes, since incremental writes in that mode were not...

Hi, I have encountered multiple bugs related to `Attr`'s `fill` attribute. Here is a minimal code repro. ```python import tiledb as tdb import numpy as np print(f"attr1: {tdb.Attr("attr1", np.dtype('c8, c8'),...